<?xml version="1.0" encoding="utf-8"?> <indexedmzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.2_idx.xsd"> <mzML xmlns="http://psi.hupo.org/ms/mzml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://psi.hupo.org/ms/mzml http://psidev.info/files/ms/mzML/xsd/mzML1.1.0.xsd" id="B11_Apolar_Daph_C18_2_C30_LCMS_Pos_DIMS_rerun" version="1.1.0"> <cvList count="2"> <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="23:06:2017" URI="http://psidev.cvs.sourceforge.net/*checkout*/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo"/> <cv id="UO" fullName="Unit Ontology" version="12:10:2011" URI="http://obo.cvs.sourceforge.net/*checkout*/obo/obo/ontology/phenotype/unit.obo"/> </cvList> <fileDescription> <fileContent> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1001472" name="selected ion monitoring chromatogram" value=""/> </fileContent> <sourceFileList count="1"> <sourceFile id="RAW1" name="B11_Apolar_Daph_C18_2_C30_LCMS_Pos_DIMS_rerun.raw" location="file:///Y:\daphnia_magna\DIMS\data\AP_C18_2_C30\pos\di-ms\passed"> <cvParam cvRef="MS" accession="MS:1000768" name="Thermo nativeID format" value=""/> <cvParam cvRef="MS" accession="MS:1000563" name="Thermo RAW format" value=""/> <cvParam cvRef="MS" accession="MS:1000569" name="SHA-1" value="1543ba545b594b93787d198dfbc5dfee3e076a10"/> </sourceFile> </sourceFileList> </fileDescription> <referenceableParamGroupList count="1"> <referenceableParamGroup id="CommonInstrumentParams"> <cvParam cvRef="MS" accession="MS:1001910" name="LTQ Orbitrap Elite" value=""/> <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="Slot R-258"/> </referenceableParamGroup> </referenceableParamGroupList> <softwareList count="2"> <software id="Xcalibur" version="2.7.0 SP2"> <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/> </software> <software id="pwiz" version="3.0.11252"> <cvParam cvRef="MS" accession="MS:1000615" name="ProteoWizard software" value=""/> </software> </softwareList> <instrumentConfigurationList count="2"> <instrumentConfiguration id="IC1"> <referenceableParamGroupRef ref="CommonInstrumentParams"/> <componentList count="3"> <source order="1"> <cvParam cvRef="MS" accession="MS:1000398" name="nanoelectrospray" value=""/> <cvParam cvRef="MS" accession="MS:1000485" name="nanospray inlet" value=""/> </source> <analyzer order="2"> <cvParam cvRef="MS" accession="MS:1000484" name="orbitrap" value=""/> </analyzer> <detector order="3"> <cvParam cvRef="MS" accession="MS:1000624" name="inductive detector" value=""/> </detector> </componentList> <softwareRef ref="Xcalibur"/> </instrumentConfiguration> <instrumentConfiguration id="IC2"> <referenceableParamGroupRef ref="CommonInstrumentParams"/> <componentList count="3"> <source order="1"> <cvParam cvRef="MS" accession="MS:1000398" name="nanoelectrospray" value=""/> <cvParam cvRef="MS" accession="MS:1000485" name="nanospray inlet" value=""/> </source> <analyzer order="2"> <cvParam cvRef="MS" accession="MS:1000083" name="radial ejection linear ion trap" value=""/> </analyzer> <detector order="3"> <cvParam cvRef="MS" accession="MS:1000253" name="electron multiplier" value=""/> </detector> </componentList> <softwareRef ref="Xcalibur"/> </instrumentConfiguration> </instrumentConfigurationList> <dataProcessingList count="1"> <dataProcessing id="pwiz_Reader_Thermo_conversion"> <processingMethod order="0" softwareRef="pwiz"> <cvParam cvRef="MS" accession="MS:1000544" name="Conversion to mzML" value=""/> </processingMethod> <processingMethod order="1" softwareRef="pwiz"> <cvParam cvRef="MS" accession="MS:1000035" name="peak picking" value=""/> <userParam name="Thermo/Xcalibur peak picking"/> </processingMethod> </dataProcessing> </dataProcessingList> <run id="B11_Apolar_Daph_C18_2_C30_LCMS_Pos_DIMS_rerun" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2018-08-23T12:58:25Z" defaultSourceFileRef="RAW1"> <spectrumList count="56" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion"> <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=1" defaultArrayLength="1194"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.342956542969" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.3963388e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.31515392e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.161270141602" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.830688476563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.003951666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.42393386364" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="5304"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="6972"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>eJwtWnlcD/kbH2eSFW2tQjXlCDlWKUKaZKnQRrmzJtF2CLkLGSLHCjmXRWOdyxJyJcdsckREUoSMrKJilRwR/X7e7/6a13xnPp/Pc7yf53k/z3wFQRAmfS2U/n9R16/FVbwb+uzbVbccXvntKs1r19j9/1c5/dngb1fBfzOeS57nmn2718qyirDertNTXMvOch/luvDtub6v3nO8n7CoAs8zmr3n/Uis039uUA/79p3z8du9tsoc76uV0dhHblCE9+WnXetAjnW2Tb9d1eTLX7/9Ljxy4ntKPPe18PgX+8zpAznlqlZvcX/nFq5Cux7YX3zQfgD2u7of5+uhxW/wfPc4rv/3foNvv4v3Lpdj3/O/U+8x67h++AHsp25xxb2ersAe4qwbtINNKq5CpC/0VOadgJxaURDO0bJGYV89oPwD9l14G/sot+Npv6R86KcHO+K5enYbflf0AtyLs8Kpr5M9901e8ALvlzhATsH4917wjxLHdaM3fqLeenPIGT4Z/hBCH1De1pthB8ng2BfcbzsL/0lfr9XF+8s+4T1txwHspz6ugf6iZVOcp8y/R3t/dPsMOSKNJ39bp7zw7YSrSeqP8POHEugtvAmvj/vVOs4VH8cV0Q5R1bgqLjhXOV0Nv6uFv9hCnkUHi3FOqRfe107pVTi/uwfWyfEH4T9180zgRPJcDr31NcSBvkEk7lpG0S5mlq2x/40a2FXb2Zf2c/xsCLmsOxnjqpnDXuKbxvCTYHCtP/a/ew64FS54ct2f1rCb0iHUCM8zXSXoWRWB52pQE+BEj7Og/S6/YLyFhfXDOptgnKu9j63BfnkfaHe3qcRfUB5wIbcgvrWiOtBD9qjBe4r1Utrx2HKcqy6+yHXGjHP5Qqwpzl+aYwL5cjfBX2qnOvR7tQflsRkBu2l/HYH/pMk52F8qrgv7i87jqM+sJPohfEYLvOcfy/v4CYzjFqUdoE+mEewk/3MAOBVmTqM8hU+Jm16B8Juy6OJLPDfyo7+EqzawX/jKd9jv6HXgR3YzRl7SSxOxj3q/L/NHhn9X2PGeA/KXet4d8SZ9jQJ+hHnBWCeaTnTF+lYj6VdpPvym2s6HXbRl64jL4/bQV5+51Qn5IvGOL9Y1N4LcYpNCnC/sfG+A59lfvse6/v/hfK1tEPFf+JH5xXszztOinLGvus0f68W+13ywfp4n8Kw7+reBPT2uQW/9ah2sl3u0LMF9xjCs07KCmUe25DLfNn8MP+lvFsGeUmZ/4mF/ZCPIlabQzod7Yz8xmHlWMPNh3PTs/gPeKwiD/1WD5tTT0Y04ivQbBPtIveAfuU4L5m/PAObDQh04UB/eYV58MqHWD7/0xLqp0ZSvcB/iWmw1FvbWU2TGy56/gQ+54yrYUR+9G3iQApZQXjkVV9XLjjhsvYB6freYfl7mh3t9UAZxt6Yd9bcbzbj/HAP5tIduzO9Xe8MfyvqOi/B7TQ5xfSDVHH7LazkW+hW+ZBw+YB6WbZphP9FiGvTTZ19H/Gh2mcCr5jsCcovFucTDh7RR0CcjgfF1Pps4DuzcBPYyiXPAta477Kbt2kT7tXyGc2V5MeP00qCGkKf9Bjucs/0H5CfJpznsIay7Dxzqo5gv9C2esKe0+1ecp8UdRF6RipayfiQ79YCe9g/MsJ+XAfZXarpTj+WjiQezzd0h38W5zFu96lOOsUGsRzk3WOc8f4A+0pwE5ov2f9M/i50Rn3qXIJyr/aTC3uK7fbCvXF9BPZC8lhOHcyKAV7n6a1voM8UQdhe0mfCXbPsX63bUkUr+Hgr8i/mrmLesjZBnBYuZ3O+6Tx/sr3VFXZH+iIA9FN/GrXBOr3C8J78Phz6C0xjygLUa8X/VBXgVNkrLcc7WSMgrrvUNxvrWS4iDMb/DDoLtItZF253wh7BibTe83ygfemgXvqJ+iAGGsKPmptF+cdOBG3nXCOBPdG8E/ykv3nL91keIEy37GOTRZntE4fdzH6CXsOMo8oUw8Cju1dsH/PA8gTxF+60e+Yx/GuylteuL+idPOMz4sS5jPbPJghxKYHYM1heSV4lb80fjnBuTyDfaxJIPSXsgj/5aQN7Ss84CL8rkC6yHZqNYH90syDukuf9BnnvDYEdlls44SW/LeA2aQT7kfo7+2/gc9V2IDQHOFZdE1r/EF7CH/siS8Rj4uvacB5BP7HQkDvuXNIRdtMv9wEu01Aji0n0g/T6yFXiR+ujvjqzX5uRDUx3px0qF/rHzQn3R7j2mPS1vUd7gw8gruoUh49bAhXk+oArxJr8vw3PZ8Dr5dEY681RT5i/5WhB5crediEPpoTfOUf/dyzxcvQr6i/b/wE7S5RvkFWnjuU96COtYRUvmBXvVGva098I65XQRcCaWrSV/Cc7AOcrEVeQT+W7wg6zQ3kLQK+bzkyHM89tOIQ+ogRtwvhBn15D1rjb/3mVdkX4YSD3W/MK6GW5C/m3phXPE7rX5cmoe/CG/ak0er88gb1iXwXV+qSshr3d94nDfFeIgPJv57NQx1En1YKcQyBE8BHJpKT6OkG/236w7HwPIN6w7kz+YppIv5omoo6L16qWwZ8ysIOwz4yj7melTkG+Vo1aIX830M/KzOM6Y/FU7wPx68SrOUcbkvcbvc23J7x9cfIXnPZ9ivfLnStqnQwH1PlHJe4sOwJu4ItkF102zyf/OVKE+Cec3ky9OsqO/7nQAftQducyDf7yjX53mAidC+u+05zRD8n2PlYxT78WQXw5Px/t68Ujul7CN+Ho6wRv7miWSV6X1bw+7RD0jHudP/g5X89XAk3bSA3lSf7eB9Tgijfp/zUNci3dMmYcmdYb8ys2+yOPi4cvkM3fvAxfSsj60w8s/2DcczyR+DL1YV0ocutMOCxjv/ctq+cGfzWiHX+Ev2Zt9o/zTU8ijVFxgvR/XHrxPUwzYR+Zsgn3lN/uJs/oT8L7eyBTxJGYs5Pl9TvO9SWcY16+swnFe7x9Rl5QhA8GjheaFqPuigx/1/jmZfYQV653018ShWG8UhHyihWxn3Sk6RPymaowvB2vUISFP4fPjMnHl/5Bx75hH/uxcl3WuQw7lPF6B+NCvbCHubG4xfieFYH/xaivkH3W2CfCi7wtgHq/3kXZL3s/4OLCc+X/JNPJ4u6UW0PMI/SDssCLPDLUgb4j7CThTBrXl+ff2IP5Uz9u1fHk+7K5Gr2edKvJmH2u5hv1b8+vYR5ySDZ6hGBcAX4pwSMb7z5I6Qw6DZpTvXCT5uc1o8r6qlqifctk59HlynBfzvTSY58TuJw+pY4j3pYkbGNf++ahPckpL+E/U0ljnF5sxn+W7eOL3H1pCPy1hCXEdfQxxqo6IgV/E6/1xrtAnAXoofsNYD7asAA6Eem0Qv3JEi59w3bMEvyvfL0Zdlp28obeURF6qTB2AfWWjxqhngklhGc75FMjfl3dk/vRZT76TYkh/HqrmnKahNfKZctEJ69TFJtQ/KI59gdtYxJ1i1ZJ5qTqK99M2AVei1RnOc9Ia0l7SWtqrbyD7wtVLkCekETuYT4w/ss5uTUfcyJNfsS79dZh1aJhFLT570y8mg/n+vJ7QW1/nR94T5At8KNUqeaUh+bc4J51x8XUL7fPcmPhMfca8t+oh80fMShH2cili/OxbTV6d7cK+f+Nw6KfEv6dcF63I99cGkXd8dKLfjtfWIWcT2nHFONaJE42Jv5R3jJcHr1kn+yjczzeUeWZrbR1sM4H1dF1r4iDNhr8vHMt+eEAd5uVdG2iHCNZJ1eoN6oT6uSnfH5SOuNVymB+EpPnMt66nyV/9BwKX6sgdwKtc3IBxmGHH/DFkPOJHa3GacaadpT/qrMb5SlF7xmGjZcjzyiEjntsqAv2Y8KQL5z7fOTIvZ/eFHdSmebiXXAvIe74mkifseFeIc4Yawn6CtwPjsL4D1mnryZPkgS8wR9RPHsZz+VIS+dzlLPAdYemCWn7SAnlWnTeGeSh7L+dRsTkicXYcfY+6LoF9v1oKPXW1La8FL1kPAuZjf02Pp36JDyh33Y20+/Wu7PNfFBP3Zl1gR22tD+WqCaHd77hT/olFrP9ZH5jnU46Qt9y5Bv6ozSghXt/2ZJ2wn0Z5wjpCfiEiE7xedz1Ziv0OXwROpH6O5M8H+jEuk4uAM/32dPLJ1uTD2rE2lCOefELf5sT+eboD/bviLuJHSjBm3EURL3LmBfrd9DLrynAX9ikfJpGPFR1jn3e9J/3ZazzsIlf4Q191dfwInBNozzr5fRh567v7zEePujFeu1+BHeS5ebS3Gsj+YPc24tksh3GZnMb+P8aW+e3oK+IkPwu41p6bMS97LiT+z23iPOyyB/PevXX0X0UI5NF3PGZ+8K1inX0kYO4iHwxG/tJ7B5I3jo+jnY22Ue8zReSLsTct4a+MbM6dXHrS/td64jzJpxfrg/vP3D8pgnq1MWA9cBwKv6p7Q9knejRnH71jLeuVtz157Kh+rJ95HsxT/RtxrjN1M+qJEr2f+dpVHI9zjHeifmiJqchv6ipL4qXqE/RSknKZTyZznq4eFeiX0grmpWnBqOdC23Lmn4opxFGZC+3xZzjrc6/fGXflOQGs/ws4b59UTpw4lQ3E+a61daHuRivIu/cd7aXdJU6qOmKuLu7vgnmvbG3L58NsyDM/ZTGuOzNvSuIod9wHHEQeUuXh4A3ymVmsnycecK7WahD2UWzvcb+dGnF0O5/6lu8hrzHb3hL2m9wDcSS+4JxCdfaiv5Nyae/dKZzv9nkLvZSaYvAsvfsMyK2O53plywDEheDJ7wSKPJh1sP9L2F/a2415tIEh64LlbfahvUtYx0sqOM+LKeN8RsznHCa+kvOQNEPwHm1tb/ZJHsOJK8dfOa+7yDm99MWBc4GWQ7l/7kPy47BGzC/dOA8X8tmHqwVG43B+Dr+bqJPS4BepwSXywwXJNqwbd8hzp1xlXJQWsP5Wz6NdPT9xbll+eSL2mzYJfFZ94IY+U06dR154Zh/4mNAlinFXOZ/9Q1hWU/KP9/THqM7QSzqZw/wVUUY87dnDfqFDLvF4eCqvMy9BHvVZB85bzEfBH7p9HvU2OwKcqD1PoC7J1W1pZ69s5AsxxgG/a/sbABfioUGQR7x8hHYtnw4/qafU2nywnnEy28Ue5wxwYdy5VfL7g/FT9i/7rpAvJc/hvPPTIX7fMmrE+dP4h+gnhXZ9MS9W7/iQ/+2u6AL7JBSQz1/ZSRwuXO2B/U4WcW5QXoP6reZGEIdRJsxHzsG01/Mw9i0psexLL8SxTlSuY7w364erOHQI83KPKtbJEUehj+L2lvXghjPzzcdo4FkIjaFcPmGsf/Y+tPPKJuTNjd/C/pL3r8zD/QazP931GvvIh56w7tT1oF882G9o/ZJ4fuIw4q9+LvvriHj2SWqpFfmGBfs3K/a1Qp/nzJ+jC/h8vivwo0VyziIY+vDcn8pr583vYWfdwox8tHE07R6ykvHaZy9xsGA14+jgRvS70olj9OuWU8wvr8ZhbiZ4u5Knx73C9xk1MoRzx+fm4CFKfmvy/+gz5InqPuI6+CHjUbtAO+ZHE/+ZxZwHXVNpl85XKceZxRasW6tgT8m0CecskhH3eT+WeTGzH/F7bBt5uHUE4/O3Q/yu8ZI8Vz+YQbvWbGd/YJ7JucOQRuTdI84wXz4sYP+enUR7trvLuDccCPyLrknsn3tsJa5f/Yl4FIZuJM8J8uX5S74nTvrcLcR9h2zOZR5Vgg+rEbngD9qKRviOIvQ6y/naX/wuplntYV8fHcP9/6tgfO05iXvldG/y3ies77LLAPQxwitTrjsUzLlloj+vFr2I0+CI2u/JRcxrTYY2pD9NoJe+vBR8RXGZzTzxIZj1/Wpz5tt/bpJPN/Ri3XTI4hxqqSW+ZwjD7DmffnaLcfTmDPuZV48od9tfmGe+b8W4WP8ZeVQNPwH7SqsNgDP1NxvyyAWPMLcT+scy/wxswHx2YwvrS9h37AOzNhNXpV3IB9tvJe7GbUe9kUM21p67hX5VZNqv/mDap4Tfu1WT9fCX1przXGGUO/HZfTDj4PNv3NelFb+XeHXgXH57MfuNG+fZXxU8Y130r0ee85nfx3S39cR3gwDiRf9C/vuxkP23QzT7jR9L3LDvza7sg245c+7RLRl9gdzNgHiPnM651cu2tHfYE+RP/XM49FPyJpBH1vEE3iUDS/Kc4zr50E3OA8QhUZTfLpv1dm0A+cvfF8lHJ/YgP613B/JKJcnQX+neiH1CRCX7wzXHyfPCvFlHm3Qj//MrJH9qobIuRNpAX+1lOv2xMpRxkWBCe4V15b6h/9KfVrf4XoA5eVJqN87t3Y4wf15awDqRacG+NSmFcfggkTj94k4c9BjHPvTmSOJPOcZ+sJvCeejhZcwXH94wTvRwfmd7Vp/5s+od/KD+zO+2usFDzuXXNKedE7YT5w0aEidmnWu/73dkXDpncM5VPgj+0Z7XJc+YsZn+Gx7Lubv/fp7/pQ1x+DgMuFJPpxD/C2343bPPCeq7qyv7i1tj+Z21L+eASqYf4lEOOgJcqepVzsFOl4LXaaENyEvuzuVc1taWfeL9Q+z7UtgnCy1+JP7nX0Gekd6O5JzEoT6/Z4z0o/67C9mHzEjld+cbfsTX/smUe8888CFhhwH7wy4Snx/IRT2Rqxryu+i4aabMQ7SXXD2bcVp4jXNd83jiJG8h81SUK7+jzWrDedu58+xDyg4Qz/X8WKfyYsjDfZewPl66iLynnPAh/gfGcH4cf5p2eN3EGfJsiQJPkXbd5LpElXgI6UGePJX9rWwRS3x7cM4hPykkLpe34/5JlcxrvtbE5b4ptLN9MfQQjlvTbz6deX6xI+Mg+wbtVzqGuPj0nDzmJeebUmAM13kMZB8+y4d14fhbxkG/Gvb9w5LJa07t5v9NPuaynkaO5bzWZRj5sUklr6cY/8q5Wt5rPoK88tel5Bmm5zGnV1fV4HucdLov+JQ2UTFy/x9+mc1Q</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="1" id="controllerType=0 controllerNumber=1 scan=2" defaultArrayLength="1404"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.342956542969" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.8470212e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.93090176e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="193.807006835938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.8310546875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.005606666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.554277002811" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6164"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8196"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="2" id="controllerType=0 controllerNumber=1 scan=3" defaultArrayLength="1627"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.342956542969" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.3271084e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.47888832e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.757247924805" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.776977539063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.019181666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.561332285404" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7084"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9468"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="3" id="controllerType=0 controllerNumber=1 scan=4" defaultArrayLength="1502"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343017578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.3196084e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.83326656e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.221374511719" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.835327148438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.0328" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.502701103687" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6544"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8728"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="4" id="controllerType=0 controllerNumber=1 scan=5" defaultArrayLength="1505"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.342956542969" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.651558e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.89407936e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.278671264648" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.831176757813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.04635" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.524380326271" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6560"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJwt1Ht8j/X/x/GrmcqhsH0WIS42h1BqpvQ1XF+bQ5HDDqRGVzvIYZIdJBsubAxz2kYHp4t9Zmi/xD6UkCumiSnsM5UWl5ksLWKjcsjve3s9Lv/cb6/X6/l6va/P/qAoin312Nua8r9/ISdE+1aDSVKHdxbtwjGiuSJGVAfHUd9E7fEMjNhEPsAtWtdRL/mE/qzdojG7lDsXLuK8KubTL3Mn5nfqCR0nS/19F1H9dpBono8V9YfW47cmlm7BsYfI/XSE+mwp+49W0P/xvGhcuiBau236D1pNkfc+7SAarwTijSDR2tBLVGp7U8eHUa+bKNonM7A2i703tzA/5hb19seY21X48mXmsYFT5X0tTNTmoDIrnH59HJYmivpMt2gNLhSNEx7RblGFTS4xD2uXKHdODhL1k1Gi2u5NUXs5QbSGLaL/+TLy3U3ReHEL/dh8fKqAve3b8HoRefUU+VY2/TYXuTuqCj9Hu9xnmuS3txe17I6i1SdQ1O1g0SwcSG5OLLmyOExOoL9hoqj6zBEN90LRPpXBneFu5rcKuKcfxJFH2T9ZzbsbrpCr8X1H7sx8RFS+RGtT+3f4nUGi3aCTqD72DPkOL5Mv0ulXxbHXYZFozsxif+xKcimb2OuTz3xwoajnbMPAXbj1a/YCznO3q01+PhpVF/HzS3zXc8p0yS/wQcVfNM+2F40tHUR9SFdRLeot2vs00YodSn/Kq6JyZRz9kAT6yRPp/zaV+0GZ3B/0IfOgLRjoZr4RreEFvNv5KO/dLsWAcu6Nq2de7vMu7/mKWl/H9S1Ew/YT9Tv+ot2jPfWBjqL6SBD7a7uIyp2e5H5+ntonWDSDUds7gP35o7i/eDT9thHkMnT2n47FXFT7TOfeDlS/QK1ZEnvPoP1dMnVrg1zPldSvov1+Lo7wYMJ+vj/1IPf6HXb+DiX0Y9DWvud7157i7lQvuZtn6c+pIpdWjf1reTfiOneW3WSveR35ArSy6qnv+cyQfGdfUTmA1uIW1Hf88LiLXOnzoj2vP3r/K2q7Rov6IxHkL6OZH0Wuyxhyh94i5xdHvWMG9V1URieJxkq09yWLatFsvutKGntfzKe/YQHv9M2g3zeH3Go0/snl7sE83hm6hT3/fOo0N7njjqd3k1eLufuSh+/Icjx/mPv7S8hXneHdy+Xcm+2l/28V79Rd4s7Eau5moXn2OvfeuEluVR3zNfXcaXGLutA3Sd572E80PK4k/v4tRe1EB9E8HCTqsd2w5XPsxTyPQ4JFdWsYd26PpO4XTf7yDPpnkujfS6H/1QL6N1Dbn0G9IZPcnNXk0nOY++VioaP/R3zv/S3kJrrZu4umWsg8yEP+S8caNE7sZx59mHo8qv2PUAeXcKcQrUq0+x6l/8gZHITWsHLqBFS//pnvGnmJeQoao6uZ77pBfvBN6s/q+L7m9fTvNUiWup2vaK5Ga7Ef/TUdRftaT1F98Tlylc9T3wvBdSNF/akI7BctKvfimQ9L4O616dzr+C7zfSnca5RK3X8euX4L6W/N4Dv8VjMfnkudkMf8ty3UyW7mV9zOvQLupHp430Dz7SOi0fkoe6O8GFJBvj+aGmrjq9kfeJm603Xq4Jv8jo/rcIBPitxN9xXVU81Fva0f9QzUKv1Fc6mLfrMA+k93pH+up2gdCKaf3ltU1JGiHTuKvW8iuT8njpzXsdO73AlNZt48hX6B46RU9rsu5HtfQb1dBnu7Ue2SyXutVvE9HdD0yyM/Cu3yNRiWz3yS42k33122k3eDd5ObWUy9ysP7NUeoN5ag31He++U083/LubfZy/4naO6sxgOo513H0hvcyasj36ae33MC7ed9UyX3KVp9G4pqX39R2+0S7ZcDqL9C/VAQ/bRO7DUMQTeqS3qLRtcw9A+n/8Eg0dyPWk0E9RuRzKuj6BdGc39SHPOb8dy5lcJcSRWV7QvpP56JWx2TcnB9Lu51rESlbx53TqHSfg3vz99C/8t8fud5N3uPFPP7AtEeXMJ33UP1lxPUdWeoG3rZa1zBfRdaLaq5H1jtfIfj45e52xL1rrXc+aeOvUGumXIvvKWoejuKdmSQqI9Ha2wIvoX6KrSDerO3PYx5fLioTUd7FeobnP6Hw8mnRfLuqSj6UXHs16Duk0D96DRslspeu0zqDmtEs7tjoRu/QbVfAQ7ZTX+D4yt7ROXYYd4tO869xWfw+Qq+a0Y139//Mne61LF/A61F9XzngwbvST/BV1TXoLm1oWj97C9qwS5MCMDfAsmfCRKNFp1EJcIxGa0fe1Cn9KIuRGM/2uWOtxzLQnjfRu3BQN7JC+PO56iWorV6EPVjkXggStRHRfPOJjS9cXg8nnm/BN6bgPrdZLyXgqkLmKdncufNLOq/V/Lu0BxyA/J4d9ka5vlu+isKeO9Dx+1F2Gs38yy0H3jor9/j/H0c5x7g93/jJe+tJtemnu/5AZUqtJvfcv5ODWZJ/gYal31F9U/HWc1F2+OPv6FeEYj9Oolmq67sX+xF7m6IqK3uzXxemKgEhItWo0Hc34TG+Qj6xZHsBUZRL43m3sUJ3GkeR34vml+j3jmefNcEPIjK9mTurUyh70plrzfqJ5y6YybfMyGXuh6VGR7eb7gH55ZwzzjDd/ynnDtveOnvQr26gnvx56hH29z1qebuZFQf3KDftZ57kai+h9bKW/Tv3HX+fr7vS/8FVGOdusXDor3cX9TauUQ9GP/3H65oRgaRP9CJ/OwQ8id6i8aQQeQnoXofrTGR5JqM4W6ridx7NJn5L6ifyuHOTdQHr2EvqoB6QzF7DT30dxzhO1wl3FlVztyL6mQv96KqqRNRe8+pJ9Zx17+e734T9dlop93ibnKD2TKfh/YDVFVfUZuGVp7jvYai+W8zTPHHBag3dZELRrvJE3i8FUZ0EI2MQPJaEO8pnbjzZWe+p2sI+Wa9MRfVP4Yy90SQtyOZ+0Vx7+EY3q+K453cBH7H90nsZSVTf5JBrs8K7l75hPyjHu5uQ/ucx/ndR6gDSqj3oHbvKPvTT7N3oJx3rqDW1Es/ApUNjo3PYutq5v1RD/2Vey9dY/+V2+TONEiT9+f6itblhqKZ/jD1BX/RyHaJelUg+WtouZ+m3y5EVCJQn+CohpPvgeYE1NpEcvcYaq4ocl3juPObY4d4UfUmMH8xmb3f0L6NetsUvidnEe8sX4rN8+jXoLIjn7rAzV4Nmn+hVlBA7t9i7g/3YC5qF9D4x9F3D3mjhPkfjjVHeeet0+TcleT8q3nvadRfr2HeqI7f2b4ep/imS17xxwkufB+1HLSi24tGfaBovxNE36+zqCb3EvViVJuEUM8MJ/dZhGiOj6QfGkP/YCz55fHMtyXRL0NjVzLeR/2NVOoOs6gnZ/K9y/P4rnK0PnLz/Raaawp4Z04x/Tke5z00vkXLe4T56BLyiWiNryK/vZp6Yz3vnkGtyHeO9M+j6uOPHtTqnbqTi1yeY1LbOfyOINHYgorVC98PYa8CjSnR7B2KF825U6gPJpObl8J7/qn0J2dQq5mivQ31/+ZSD8jjzkFUH11D/hM37y0p5jv6lbB31fFvL3tfVZAvq8ROdbwbXI9ZqPu45so8xDGvpai3bydab6OmBInK5i6i/XcE/cGRolkQxTwymn5xPLnYZO5YKaJ6LJX8mQzmF/JEo/Ea9gvXkrfzya1xY0wBVpRwf0g5e7PQfMGLzeqcu2gMrMfUeqfvO0/eudJUVDV/0erjEo2aAOpevZi/56iFiHaC48hwUe8Vxd6AaNF8F/XCGPZ+iOOeX4Ko3Ue97TT6l1LYV1PJ90J7GGq/ziSvZZDbjvpzmfyORDRv5NNf6OZOywI8uJP+eA/5ZXt5d2oJ81kneC+3jDsZXvoBP/LehEvsZVaTy0M9sAav1HGvdT37Q+9TH3rIkHx0A9F8sbFoHGwhKgP8RHWp4+9P0v8LzSda49SOovVEN/aTUGnfnf5TweSWobHoP9SxobzfuT/9tWhFD2S/CK2aoaK++xW+Y+Iw8hNH0k+MJH9nHHXs68zTUBn2Bu8dQ617DHMllto1hfmQJPrdUrijzOT9sbPJtU8j91w6uWFzmBuLeOfiUvbuf8g85GPmg9bx3dkbyQ3P58783fz+UV9i5n5cfIg70V+zN6yM/IjT3H26nDsRXuaTf8CQc3znCLRfq6QfWsV3bEVt7SXq7b9y785V8jMeUF/1mS/3xzYWtXdRuelY1BqfaYuvdcSpqG9Gs3EQ/VXdqN3dmbfoIVrbetJvFIpT0WgeLqpJqLQcTt4TiZOi8M9x5KbHUL82hTvfoKInca9RMrpS+D3N09gLShftTQv4ru4Z7G9dSt7KIVeylvkX69ifvJ6+vYX6yg7e71rE3hLUV3m4t/YA/Y0l+Hkp7jjOfOEJ7uR+x16QFyc4brzE77l+g+9dcZP82jvU+9FKukv+OtqdGy+Qeq8fHmgtqkPbiuZ2tEcE4Wdo9ekuamN64DxUzWDqmBBR2Y7GzlDu/TyQO3vD8fxg8mHDqSOjqD+I5l7AON4Lex1fjyEXj0psPPenov7MVAxJZj4Fzb/T2N+ezvzBQt6ZlM38W7TeycNTaJ5dz3uNNuAvbubji6ivFvOdCR7qjWiq+3n/whH6ySXkHj9Hv2cld85WUf/l+EI1+cqr3LmPVuta5rdvUv99Gw/f5fdk3SMf0GChvLPSVzTCG4v6x6g+1US01jQV7dktqDe4yKcEUY/uISp5IdQfh4ra5nDRLBzO3T4x3B0QT50+hboY9UGJ7C9Mwt/RiE+hXjqb/OX53L+0hHc3ZbPvzWHuzsMjm8k1y+c7HnLTn4y6Bw3/Qu68W4RfonbnOLnXynh/70n0qaRfilbcJeom1XgKtaSr+OB37mbW8t6sm9TFqCbfpp5/h/w+R8snQ/oeX9zfVLS3+4mq1yXq+pPMf24rWheD6Nf0oF/UN4N3Q7FJGPPdaMwLx0XD2e8WKWrLo3iv51j6w+Kod00RzbBE3JZEfnoKuZ2zyY1M4+6T6bynGtR7F5BXM5zfg0Y9Kl2ycRfaB3P5vcfzeO/Vj3knPp87m9zcH1lEP6OYe9/tIb95P/2wA/S3HeHuyyXMd57gPbWcfrmXu+XnqFdWMj+J5gfVfE+94+oa3n+plvwdVA7V0dfqeVe5hS4029wn19s3U+7saysqrweKRkUvUfOEZPK9odQH0f4xjJw9DMsj8dsoDIjm7rHXRX1cDPcX6tTmW6L1fSy1Ho9XUdk4mf23E3lv3QzmF5L4jjEp9Cel896FDO6F5bHXfz13MtGsQP22m72FRfRPeth37WH+0AHnu1B/uIT3zqIechTfL2O/EvW+J6mbnOF9tZy7873UAyv4nqBKNKv5js01vOdXy53R9/AzVNs0WSS5ehcuaStad9H26SQa/YPxUAjzj0KxXTh9E9W3hmHn4aJSiHpRFPmvHA+/xv1vdfZfiGOv31TmzdPZ859D/4kMcq5M6sbZ1G2WY1UO97quF7VmG+g/6yY/GJWWBdzfV8T9W8XUhzzsJRzAxBL6F9CeeIL8y2WiWYVa71s4/i79vvd551qDxZI/7ysqAxuK5q9NRUMJEK2f2pLbGyjaE4LI2Wg37S5qP6HesAf7CWheQX1aCPeuoTEuVFSnOM4IZ74xkvmoGOd+Ov3JaLoWcm96Bv072eSyc/kd7vX0s4uoS3eRL92Hp9E+9DX3UiroNz/L71Avs/cNqkNqmXf5g+/6t569krvM29ynPtEgS+abfEW9Q0PqHk1xMJpbUX3VRf//0NzRFssD2d8VRO5WD3wvRFSO9Ba11aHklw4X7Y9QHREjWqNS8MkMLMsm783DOeu584TJ/iw3+7qHeloZ7y1Cy0SjYSX9x6q5k+h4AbWjv5Pzr+V3XEFz7j3u1qLRwneJmNhUtDu6RCsF1a/aikqYKur5HdCD1opQ0QzT6JeGky+O5+6z66lLi0Ttz4eWSr+DL15rJJpXW4haQg/6+0NwWbJorUojZy0S7W9W0P+lnLr6Z/bD/8Daf0R9a9NlUl9tJVqeINE8OFa0L8xnviRL1HccFJWhJeRXl5FLOEvd2ZUttTtC1MrGUHdzi3r2VlHpVSQaH30qWlv20p9ikev5HXsvnMVFf4jqi3fZC+y9XGzyoqh26ydqo/vTvxEjWmWLRHNzNrnyFXhuLfO/1uGMTzGwGN/fS874irvTq0Xlz9u4yWeFOKIl5rUTjdrO1ItG4uRY0XzsbVHNTRR113TR3jyDeZv3yO9eQW7fWu4d2kiudKuoXSphv8cP5LJq2V9eL1pn/mXv3MMr5d7cx0Xr2U7Y6xnRzAwXtRFD6C8dTj56JPXqKFF/Y6xo629S33yH+ehU/Gcmew/mYmAB+axC0ajfTZ3ZZJXsL24mmqX+ov1RF9F4ZoBorRsiqj3jmc+eL2qhC8mt3kGddog6sYL85h/pR9/iztetV8v+xImiunKdqOs7RGtxkWiM+ELUPi2nXnuO3IZK+h+f585Df1H/p3mO5KZ1FfXU50R7VJxotX5HNCPSmY81yL/5gait+lBUctZTD/2E/LCd5EYWi2rk5zna/wOs5cdI</binary> </binaryDataArray> <binaryDataArray encodedLength="8752"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="5" id="controllerType=0 controllerNumber=1 scan=6" defaultArrayLength="1414"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343017578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.5407708e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.74984384e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.067977905273" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.831176757813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.059926666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.541423916817" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6176"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8256"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="6" id="controllerType=0 controllerNumber=1 scan=7" defaultArrayLength="1602"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343170166016" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.6762724e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.24180288e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.285537719727" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.833862304688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.07355" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.540937125683" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6976"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9316"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="7" id="controllerType=0 controllerNumber=1 scan=8" defaultArrayLength="1526"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.7790968e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.73850048e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="193.039489746094" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.832397460938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.087095" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.46439191699" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6624"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8868"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="8" id="controllerType=0 controllerNumber=1 scan=9" defaultArrayLength="1547"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343170166016" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.2071e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.08901888e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.460861206055" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.673950195313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.100693333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.528985917568" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6724"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9008"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="9" id="controllerType=0 controllerNumber=1 scan=10" defaultArrayLength="1657"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.9484384e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.97636928e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.168182373047" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.776245117188" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.114303333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.490379035473" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7192"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9604"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="10" id="controllerType=0 controllerNumber=1 scan=11" defaultArrayLength="1623"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.0044608e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.22417216e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.503295898438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.832153320313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.127845" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.50136089325" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7024"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9452"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="11" id="controllerType=0 controllerNumber=1 scan=12" defaultArrayLength="1674"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.3187924e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.86259072e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.742050170898" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.104614257813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.141436666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.53862965107" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7280"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9696"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="12" id="controllerType=0 controllerNumber=1 scan=13" defaultArrayLength="1750"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343170166016" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.9032884e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.99514624e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.09228515625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.830322265625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.155155" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.544330298901" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7576"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="10128"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="13" id="controllerType=0 controllerNumber=1 scan=14" defaultArrayLength="1577"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298583984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.6178384e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.9044672e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.092376708984" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.779296875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.168596666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.468109995127" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6880"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJwt13lYV3UWx/GroI1LJvJjyiK9soipkylopVhXQdMwF8AltbwJuJGpLGoKeWVRcnBhbTKXm+C+s2gp6VVwTUtZ2tyugGvOlIA2auI05/376/Wccz7nfO8Pn6d5RlEUq6F6qqb8ZZu7ojY4Ytr/NerRWh0lmu3iqNukiMpz+Tj8KP3Z19jr03T6/7WbeYnGqz6ieXqQqPYYwfzyZNHqHSNqw5NF5VuTuuoEedOm/8w18qudDus0Q3J7UA/xFtW7PqL1QmfqS11FO72/aE4NYq9yEn6Xwn7TLPJH1pP7YIOojC5j/iXaHU+KRmYV75R3jBYvqTjZW1Q/CaLOQWVhMP3GSZgaIeqfo/oHKgNniEZVOvsjckTzYS716TxRm5fP/tDN7D1dw50htdRbXD6U/FhVVA+h0fwVUfcLFs1Rg+h/j8rrOnVIFPvvLKH/ZRr9VpnU/zCd+Q3ci8gTtXubuOtvUfctFe2UK9je5s6oau5/5XRoDVY2nSl3t3UUteVeovWat2jc9xH1LQNxwSDRHj+O/NjJ5BPROBshquuncPfUVOd+Mv3h+eRHHuNOk8vcqammf7aWvfU3qG+5fiR+/ZRor+uIv/uIWjNf0ViJqvdQ8uvfZn4O1Z06ueoI9gsNUXkmGc+j0eisfZY47y6lnp/G3dj11KtN5pO/FPXX8ugP2SyaKafIv2TzXjKaNVfJ+1U7f1cN35fadJbUVS543lU0lnqK9s8dqTeqoprfidx9X9Ec0kVUAvxFvUQjt+wD6oUp7Ptu4J6eR98nX9Q6bmHeZBd7LUu4+0YZOb9j9Lc18m5F09ky3+iC/VxFI6OtaH2G6lo3UTnZjtxVtB+6k+v0ArmtnahrvfApH3IL0XzYg/6AV+gv6cl7F9Fu64/3B5GbMkTUY0fyfpLTtFHc8wwl13Uy/TUR+N0M5saH3Ns2i/or1J6g1X02789D/eUY9l9D9ftY5mfn4w8r6A/IJP+fLO6c2EA/rIB3DhSSH1FE/82jOL2UfN8y9t9DZcs59mZU8r2fVFO71/C9CbXkveqc/1719Ps18M4yVN53mSO5QjT9XEVtKJolTpu3nMPf0U20PduJVm+HaJxGPbsn+yfRrhrA3q0RWDCKe0+Fiuo1VBaE0T/8AXf3z2K+bQ73StE6g0ZoDP1VaH8dy51P4rhzYzHfszYJA1O41y+TeQbaD7O4OzQbv0HbPY/6qXzeS0DtW6flBdzrW8T9ZagcPsrcRqukDGvKuftvVK5XUC+o5P6Tar6rvoZ6ai11Gtrv1XEnt4H7EUqMvN/QRNTauYrWZtT/1o5+sUO0PbyYZ6Fy1Jvc+77Ui18hvxL193qKxpBevPPfEcz7j2J+LlQ0r80h9ziO3KEk+g0pvDs0AxNRS8zkvXZZ5K+j3bgBfYvIHUT7ptM3SnnXv4z9zWjt/J75U+W8Oxi1YRXUI2vYG49aaC37L/2OdXfpv1XHvffq+S63BvqNLrHy+zq4inYmqvVuopbWTtRNB7lcL6xB9bVXRPNSTywJxpdH4uAwUXljNPk/I7kXEsX8UDTz32eh92zuvzQHO8eJ1gHUW8VzxzsRtyWx92Yy31uJpnsG/VdRH5nJvWtO9SzmU7KZz/uM/dsbuLsoj3lcPt50umw33/NHAbmORfzd5qJhoDqtlH5GGXf9jjGvO8/3ra7AkZX0n68iH4BmlxoceI17jXd537+O979rYK41jZP9RFdRP9dWVF9sJ2qxqKa6M7/g9J8OfMaD+cIXqLt6YWoP+h69qL9BK7E3d1sE827ESPGv/96Jyokw6kUR5CrR9J1Nvn8suXTU3OLob0RtWjz57CTqrsnMQ1DrmEJdiJZfKt83F61lS7D9Ku50QuVGFnpkk5+Rx7w8n3zrPdz3L2A+r5B8RhF/h2cPUq8vQ/dj5C6f505MOfvrKpg/QWtDJfMdaO+ppf7G6cm7WFjHPKeeO54N3P/iEb+3qkm8fMfapvH8XVxFczdq/ZtRL3tGVALdRbvAgUM9yFk+on4JzQRf0Zjjz7x5APsb0fq0N3XXIPKdB1F/4/TWKPZvhvJO7zCciMq1cO5MjyA3KpL369GaH0s+NI75fbSVeOZbk/ndzVKZt0V1s7OOyeTe/iy+71w288UbeP9YHvXlfH7fpj3sFRQwTyiiTjvE/pAy6seoph3nO+rK+a5mlbzXqor8LzYqNdyrd+pey34g/vX/O9lrj/ZbdXzPg3r2Dz4m5+86V+adm83l39ENe7YTzcEODPcR1ffR6tSTvSxUxwWI+mRUM1Dz7U3eEcR8O9qzgnknE+21zvrzYeztD2PPDKd/HtXREfRvoR4RS902HrOTyXdMxSy0nsp0fncO97ujfWw9ua35zPtv5O6QAvrr0Aop5u9gljJvPEc/rZw7varo51azF1vL9w64xp5RR86vnnkdWksbmL9zD4c0iobxhHyjyzypp7qKag5qm5uJSrO2zC+6M89ziPoUD/q3vUXzMdrlPuTifEXrp+70t/hztwTtClT+i8bZAO7YqCpB7Oegtg/NC8HMswZRtw7jzh7UD6A2JZz9EqcjR9OviuD9U5Hs949iv0003+Eym/5dVPxjuVuL9ukk7iWmMh+/kvzQTLyJ2uEsHJCN6TnkD23gnZUbyX/u1L+A+5+iphaSO+10aRHzNcXUZSfZ6/k9/eOVfNfoGufvrKXv2UD+J7Sqnea4zJe/4w1XUbuLyuh21OHuopGHyi20Gzoyr/KmXttLtIr96V9FPaM3fY9g0Vw/iPpKKHcLw8h5hzPfF4F+kbzXC42XosgdQuOLWdzZGsv7x1BdFceeIx4TUPs4GR+l4JUM7p3K5N6kLPIz8+i/s5E6poh882K+a1EZ/UNoOo6R71dB/x6qEyvZK0B7ei39DLQOo/JSA4ajOq/B+TvRrHrE/iKXj0WHq6i+huZkZ93RwdwfNctbNMJ9ROsbX+rpPUXlrD91YgB73/bGJ0HsDxnE3s+oNKLaPZRcHJpjwpiPHs3eYVRaj2H/0whygVHUz01h3iKWe5dRHxqPLVPIJ6BxM5X36jPZ65DN/K0c8k3yMA/N8I3kMwup16LdvIh6XSl1RgXvz6jED2t5bz4qU+v5XvcG8pNQX+h0KWoJ95i73Xf+XVwWyH4TV9H2Qn2ms05rho2orWhHPc9dtJJQC3Cwp/mIRpcAcjm9uX97kDMfSr4Y1WVh5N3D6beayJ3Q6fTXx3AnOg5nJzDfkYQVqdzfv1w0L2fSv5jNfSuPeWM+91sUMd+K1kXUnpRSP1vGO38eo559nvw3FdStK7kbjlaLH8gbP+MbtfT7X+f7h9wh3+8/zIc28F7Ifb6rwmWhaLiKWmJz0RriLqon0LbRWO4gX+tN/TtaHQIwDDXdaeCr5HsEi6aOimeYqJ9C1SOc/onR2DWC/TuoeEfyHeVR+PV07nWI5d0X4zBzCfMxWcxvZVMn5TG/k8+9B6hu20h/WBG/JweVK2g9QLNZMd/TZj/zX0u5a5Rhbpnze52uquT3mag5atnrhvpcVA/U8W4d2moD8xmuCTI/3EI0sxyisrqDaM/0EXVHZ3ID/EUtDv/63xWMD2aeMAxDhrO/N5T9SWHsHZ5M/WEErogktzWGO+NiqQtQeeKs34+njknj/ops0ahEu2s+31+NRtdC+m8X0V+ExhnUHMXUVaXUo8q4H43m/EqcUM2dHbV48ybfmV3PvtnAXgXqO10TZX4WFRvNYnfRznaIRpynqM3wIZeHWgt/9hcEiOqyYPYdb7H32Sjn3mj6XSPJPYmhPhTLfFEctUc87/66gHeiU8g3ou6VSj0/m/v1aP36OfPt+ex/Wsj+10U4fR/zX8vY33KWffMc7xZW4JhKvuec0yuoPHC67jf0rSfv7/KJ3HVxoIFKzrP4pR/+4S/a3fvipnDReDZSVIvQOBrH/JN40dqZQH98EvfHpJCvQP1qNrmWOextzhW1vet4Nzcf84uYHyrjXnwFe0evMF/yG3tu9XgVjYENOBe195/wbkeXRbJfgkqNq2gebi4aN1uLdpw7nkIjrKuo9wigPw2tN0eL2meR9N2j8Nc4UfWKpw5A7dZcDErh/R6p5Nr/k3t+y53vZvNe+43MJxWxl76PvZll5MMqmKdUkn/2J37P8VryTW/Q97nJ74hsIB90j/3Fj7gX8pjaamJIfd5V1K4/JVrHW2B0G+bD2jF/hIZLe+oPvcg925VcLOpGL9FOR2tlH1HN7ku/eoBo7hjIncdDuVv4NkaFcG/6CHLRYew/fJf7s8dzZyFqOaifnsB+t4nkm0wmd2c69d9m8D0j0e4aR334Y+70SuC9Y4u58/FS5l+l0R+YS7/Pahz8Bf3rqO7awJ2kAkw7gEsO8l7aYb5zzBHq5aX8ztGn6F9Ea/tpDDnDfOR55ifLeS+00vk7fqC/4Sf6vX/BQWjMQf3di+Q3VTPPreHu9uvoeZv5LtSHP2Q/EbVBj9i73XSx5Me1FK061Fe2EzUvLxyHxh00W/qI6qZuoj2hB/tbUTnSk/qVXngUlVN92WsZyJ1otNoG0898m3c6hZAvDiM3PZz5D+P5vtkT6c+NJPfuDOpJMXxvy1hqRxx7bgv5Tp8E+mYSdkuhv2kZtZXJ+zVZ1KW5fN/x1c7vWMN7VzewN24T/Rvb+K4uO3h/GaoZReT/VcLd7afZ63AG95Yz1ysx42f22l5gvrKO94tRz33Ie789om81svd7yyTZ29dOtO87/Ye7qAU8z3wqmkM8RWU7miN8cC8q7buIet9u9Md2p7++F/1JAaK1FbXNfenvCSR/YSD5b4P4jn3B5K4MZn52CFa/zXfND+VeeLhoBI/n3vAJ6DERJ6Aa5XTYZO5vRCs6kv1/RPP+vhicEct89kLefYDG9gTu/pjEvSYpOHIZuQ7pOA2N06i8nUE9K5v8eTQnfMH3/LwGJ+zg3duFOLUI16GtHuTv4leKcWXM2/zCd41Eu8dF+j9U0/8DtUu3+Y72d/iOaDT+qCP/4D79xw+x7BHf/+mf7P/dJVlyp52udBW1NS1F/cVW2IBKbmvRXOAmqusc5Be2Z/67J3diO7EX5yMa2QH4RSB7G4Lx9Ynk34zES1O4M3Yadz1mkEtEu3M0Dv6Q70iOIX8H9WuLcV06uapM/Hk9Obc83pmez90ip47N5Obs4DsPolm+izqjhL3FR8m1OcP8XadmhfN7K5m7XGTvFJquV9k/Us28ZS3vnkMr5jb5Pnfw4zpyhWi+8QAPPGRvxJ/8nmLXFHk3p7Wol6BV6RDVd58XjQueWO2Dt7szvx7A3up+orITtY8DmT8dRF3k1Ahm3z2EvSXDRHvoO9gtjP7Ho/mOV8ZiSAQWzCC3NYb7sfPp71mA7RNQTWG+DY16Z703nfl/Uf82m+8avpr+5DzRHLGDutVu9jccZD+4hP5HqG4tZR5SRl87w714VDpV8L2VlVj+C3urLpK7hHpuLfMG1DNvcnfrbe48usNe0F206sm/2YBN75HzQG3tA+44HvFdLzzmd33lmSp1vJ+of9kLq/yxOEBUhwWS+ylItK+E0D81HsdPFLUvP2CuR4rmuunsTf2Qe/FzqNegciWG2jOW+aw49hehmTSfXOoa3hmYJxofFPLeLLTPFjF3FFNH7Wdv6kHuf1/C/aRS+j+Wcb/3MfYWnKHud5a6VTl7agX3GtFcXMn+wCreH4NGlwvkzFrq/Jvc0e6wd8+xRO796Skqrr7o+7JojPNfwr9jgKivDqTuFLyEvyvqk0PQbxj3NqO6OxwPo1I2TjRPTOR+nwjyiaiqUcwDo5m3jRftZxLQI5H831OpW2az90wO97uuYf+ZteR65PNdu/Odexv57gM7uN9hJw4s4s4RNKNKuHe1jH7tSfpTvyUffoY7+gVyfe6R6/+Yer7LUsldcRWtoGaiOrqVqNxoLepNPMgtfI5c3xeof/Ekr/uI5lXUpnQndwO1jwLI/wfN6NeYT+nnnAcynxPMe+vDeP/VcPLTEsjHpDCvTqf/CI2Na/iOXfn0l+8Q7ZN76WcWUR//mnzpEe7/eI65dZ69DpXc73SNfJd/4+V75I4/Yv7CY76nt0uafP93qJquou3VTLQqWonG5tai8qc7dYhD1Hehut2Tfr23aLbyxYxA7rwzkXd2RrAXH8Xeb8nk6tLon0nnztZK8s0vUk+8xPzpWvZmomWjXlZP3+H6qfTrUP2otaj8gXq8QzTXPifas1+nP+tdUUuaKBoJydQ5P3Fv0k3u/NZimcx3u+FeD9GK6k79xF9UHAGi7ggUTbcgUfshmvzTBrnvF1NP3iqq6UXk25cwv1zB3WsXmDdeFu07NewVXSO37d/Uw13+Ke+EuYrGzOaiurm1aFluovnwedztKSpbAtgLjKRfvpK997/jTtP71LWOdMm7/V3UpvlSfzdGVAesEvUe+aK9YpNopm4TrUE7qdfvYp6/j/1e31GvcupyTjTequDu6z9wV7tMv+xXcs95LJfv2Kni5pdFw6c31vQRzS19qV/qTx36Bvln3xT1cYPpn10iqj+tYH4ll72YXdQL9on2J4cw5Tj5X9uskDuZHUTraEdR/byzaOS/LCqz32DeZip9j1nUn8eJdvt56LlcNAtX4IFcPLJO1I5uwmtl5Lv/iCfu8x3nG3nvlZYrRaONaD7xFPWlwaI1/C36FcNEO3wE9YSx5Oo/ErWHc6mbLGKen0T/+2Wi4bWReYtiHHmG/vImq8QT7jj3RVFb7Sfaa7uJZu4g5n8OZx6YLKoDl4pKXD65fEvU15Uy/+ACXumQIXvtO2J6b9HuHyuqK78QjR8PUK+5LFqurTLlXi8/jOkuquEJ1GMNUTmH5gcpopG2hP6qf4latinaQ7ZTD9vNnZGF5MP2k+9wOFP7Hx29TrU=</binary> </binaryDataArray> <binaryDataArray encodedLength="9176"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="14" id="controllerType=0 controllerNumber=1 scan=15" defaultArrayLength="1590"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.9461572e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.61135232e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.259735107422" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.831420898438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.182178333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.470180481672" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6932"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9196"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="15" id="controllerType=0 controllerNumber=1 scan=16" defaultArrayLength="1665"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.8856696e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.17579264e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.716918945313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.830810546875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.195811666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.497738331556" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7172"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9656"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="16" id="controllerType=0 controllerNumber=1 scan=17" defaultArrayLength="1639"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298583984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.989258e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.40484224e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.160079956055" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.77734375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.20935" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.482789963484" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7116"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9532"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="17" id="controllerType=0 controllerNumber=1 scan=18" defaultArrayLength="1693"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343017578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.8717256e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.36578048e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.199584960938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.829833984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.222926666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.463684678078" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7348"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9756"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="18" id="controllerType=0 controllerNumber=1 scan=19" defaultArrayLength="1596"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.3558752e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.7070592e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.160125732422" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.833251953125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.236548333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.43864685297" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6936"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9216"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="19" id="controllerType=0 controllerNumber=1 scan=20" defaultArrayLength="1685"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.8514412e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.71876352e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.313446044922" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.831909179688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.250091666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.455984294415" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7336"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9720"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="20" id="controllerType=0 controllerNumber=1 scan=21" defaultArrayLength="1685"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.64479e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.83619456e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.478073120117" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.83447265625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.263678333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.443972051144" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7280"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9716"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="21" id="controllerType=0 controllerNumber=1 scan=22" defaultArrayLength="1701"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.1783468e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="9.38039552e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.387496948242" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.923706054688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.2773" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.435809075832" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7384"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9796"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="22" id="controllerType=0 controllerNumber=1 scan=23" defaultArrayLength="1869"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343231201172" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.835606e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.5816256e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="193.107971191406" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.7783203125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.290838333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.532949447632" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="8056"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="10792"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="23" id="controllerType=0 controllerNumber=1 scan=24" defaultArrayLength="1719"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343170166016" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.604482e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="9.30847296e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.092178344727" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.830078125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.30443" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.46059769392" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7484"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9932"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="24" id="controllerType=0 controllerNumber=1 scan=25" defaultArrayLength="1657"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298583984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.6345496e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.01037056e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.133224487305" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1196.828979492188" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.31805" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.460715055466" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7204"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJw11Xl8DnfXx/EhQa0liS6a6khi1xYJtURdiFTtkqjWOpJYo0WW1hIxklC1FFncqqQjCSmJLYnaGUQRlCYXT++KGlnsdysLva19ntf5zPPX+3XO+Z7zmyv+oCiKNsB1ukNRFOOdOqJjSjdRCdOwa5ioB6Kj2rZJIr6WKWpzKsh3rz1D+hO9RM2/jage6CFahQNFfeQk5sMn078RipvXiealjbhzk2gUGth7C/2SM3jeyXuPyrhbu0JUbqkzJb+7lWgN9hbVhq1F8xbqhe2wwXv0twwgd2WS6NgfwR2vL+n/kkhfS2fv+23ULc+Sy74haqWl1CPqREgd6i06TrTBQlTjBojm/ABR2aWRXxom6hvQfITK5inUAVO503QhDk/l3leZ7H2UxZ2GZaI1Rp0le4O8RS2ul6hMdIh6o3DmQ6aI6rBl1J8lU3cyROODdPLbs7lz5BBzX5M6/oboaGGJ1qhS8gdQG/cPd96o9bnMi2uLxpZmovnjO1hbFZXVXqJ6DR09vUX9x/7szx9IvTMQ40LxQhj5tKnc1xbhtgTuDsukfnqAfJMjvDvyNHYvZf9iObm029R3Xb+Q76lVR9QP1cPGDUUr7R3qel740Ec0XFtju4GitlNjXhpGf/wc+nk6vkjgHZ9l+NVycvWT8fPvRbOWITq+Q/NyOnd7ZFB/lEU++UfutLdEJREdZTepD5aRe3qP3/GeMlv8Bg2ni6g1V0V9NioZrZineZOvaS2ag9rRDx0kqisnM58XRn+PTr9nAneKllIPW8v+sS3kfNJ51zuT/rCtoqPfSexbgG1Ps//kDO64yndG3+ZOce050vd3FfUGjXBmM9HahOpNN9F86s58sAeWe4naKz7kn74vKv07My/pQj3Clzv3+nFnyUj6X48i5xkkGpMnio4Oocy7o7Z9NvU/tvPmcG/uXHwvklwPNHpGUV+yvZ6ATVLIB+Xy7oh86umn+C7/AnIT0Ci4hH1+JZdURB1XSu1exvfGlnNvazX2qiG3AtW2rnPFI2gtaSpqy5tRe7qJSqEHdafOzE+imtoFz6KV11XUr/QTzYiRuHeUaNQLYr8CHU8mMj8+mf7+2by3Yy53T6E2KpLcGtvYKPb3L+FuWjzv9k5kr3cSd5JQf5JM/2gKefcM9odm8t0LUT2Phuse+r/m0u+Vz3d8g8rRk+RuoHW4gDrlErYp4n4ZGhXFuMDJ97wsZV5dxu+ZVk69HJUJVeTWVmNqDVbXipTvyHIVrcimovqKm6js8xDNxa2YL+5MfkIX+oO6io42vvRH96f+e4Ro+I/i3rNJ3Ls1l9zlaO4djSe3aB11bBLzH5PpV6C6NwVXpfPuC9tnmdxtnc+7d1DbflLUPzxFP6uA/bbnsF4R/UDUhhbTn4rKB076zUv5rhFlzMeiEVROvfMh+apK+h9V8V1Na7jf0jVKTEI9oylWNROV5W6iYXjQT/Wi/qAzextQvd7F3u/K/FVf0XzuJ1qHA6gDg8l1CSHXZ7SoPRhL7nk4d4dMweOR5A9FUzeIIVe5mL0d8dwpTqDOSiTvto73pqTwO+6lk4vLwKhM7txCfWUW92/uZv53LnvOPO5+mc89HR0d9+H0U+Tanubepl/JV6G+vIh7FioxxdTfoTbSSe13hfw1i3eyyshPLOduGio9Ksj1R62kku+oRvOlbdcq8pdqmDtqR4uLXEX9clNRedtNNCJRv+ZOf6WHqL7aXDQ7eLH/+/v0vTuT9+hK/l10HLVrhy/zRd3Yf3sI9bsjRSvU9udg5nFh1E7bNnO40ycKm0XznVtRmx5DLiWe/cEJzFsmMs9Dvd1S9mPQfHMtueHJfO+ULdyZkcHvKsrEoF301+aTn3iS/bQC7rudZn79V4wsIveymHm6k/dz0Gx5hfpoOd9ztpJ6YhXfkYdqSjX37qD5Vg35759x16wdIzn/OqKV8KqohDUV9d7uopHrwfzDVtjOGyvRMH3Ix7amf609/cadRfOFL3VdP+pMdHzTjbr9AFw/UNTujsLbQXzfB8HcHWtbHkJ/Rhj1yHDuVaO5bwq/IzyC+rNZzO99gcvm8L1dI9n/GTX/KPwSHY+juVMrhlxr1LYnMG+6lDuRSXzP/mR+5+UUaj2d91+icTCDO9czmYdtxzN76efmUj/I552PCqhf2FYXcaeOk3dDUG14hVopY68KFfdy6l6oNKkg9wYqUyu5t7mK31OBumc1dbtHuPYfvm+b8qXsLXQR9T0NqP2bidaHbvQDPejHeYlaiI+oTvp/u5Bb4Uv9qZ/oCEV1Leqtu7F/B611AeTSbL8bSq4wWDSeo7U6hL3LaIWEkb8ebr8TxbxpDO+lJIhmy6XUp9Zwd/o66npJ9nejwysVO6HpTOden618x8Hd5A/uoZ+WS27wPv4uOSft/ily4QX0lxfR3+Wk/i8aXa/wPXNKqE/cpE4tJRdVzvc4KqjXPCSnV/Fu22rqStS/riH3j8tX8v40V0xFI6sOTncXlRLUoj3ITW3OfB9aX7wlOu55Uz9HpchHNKNbM/93J/a/8WX/R3QcRqvY7n/oJ+pX/ckrA+inor4PrXPoqLT7z1BJGkj+01HkmgST24PakRC+6y46jobxzhVUCsOZ95lCXkPDdY79HlqvzeXdF/PJn4unXrSUOx8nkf8D1feTmR9HY2Uq/cEb6H+azt1pGby7Ziv736E+LYf84d3s++aSK8yjfonWz07qE2X27yrn+26gYlYwD3xIfj6qnjX0f0Ot1K4bPyaX4jJP+lfQaO8qWhW2D9G89wrzEHdRT0fjLjome9t30PoPGiUdyc/ozNzTl/4oVG+ivq4bdfdezJsH4A8D8Y8g9vODRcU7hHfXjaPfcDL1/jDunUCzdTjzLrbtp/B9R1HdEYVro9nrFkPu5RruTUrmvdxcvmNuPvO6++gvLmBvMzoKf6HuXcw7NWiOc/JOLhozyum/rOROTTX59jUYjMZX6DiGivMZ6i7zZX4NTXdXUQ21XVSHfisPcvlo5XjTP456iA/zo63pe3Zm/6Kv6Ij1o1/YjZwSICqDBoraC9RTRlBHBVGPHs17DT5hf2so+yvCuN97CvncSOavRPFeGhrXUa0XzdxtFf3qJOrAVOa1MngnAh2L7DpkK/d3Z5NLzuO70tCom2//3QpwhtP+e5STj7Cdh8bUaubuNdyfhOYC1Bc+ov/sCf1olwVSK66i2godn6O+0PZFHXJfuVMnoLoPDV8P5n19mGd0pm7rh7370h8ZICr5QdQ3grnjHkJthmJapKj5RVFHRHNnbqxo7oynH5DI925IJl+Swv3jGdz9J5Nc1zxy9fO582O+nUf9n1PsvVbA3n40n59mL/AX5keL2HtajI2c9EPQ+AGtA2g2uMr8bhl3nqPxYTn7fW7RH3Kbd4fWMB/8GItcFoqLXUXzdh1RW1RXVAe7YyFqFhqrPej/6S066vqISuf38R0/DLKdhOZZu/YO4N67aExC661g7p2zbR5CPwjVn0eTbx8m6nfRdJvKvZZR7HlG0z+4kFxkPP2OiXg3hfn9TL7nv2j9tYt8vVzq5HzmFhpPUKuzjzv3T3EnrgD/g9qd03zvmDPc+8HJPafTzt1k7l5OviPqpl0fquLd+tW826MGf64VK/OZrqLxh5uoT/KgTkK1xlu0Qn1wNipb7PptX9ERjUY+arftfkwAdXAg938dxd29QdQTg/FYKHdnhbG3GM3V4XhvBu6I5N3cKO68RKN9DO+MR+uneO70TaG/Gi0n6h0yuWeiWoraohy+o18e87h83IbKL6hePYVBBbwTgcYKVJTTON/J3dfKyWej+UMN31OEjocui6Sf4yrqPg1E9YGbqLztTr8ajRQP0Yr2pN/Nh/0Z6JjnJ2pOVNv0Juf2EU4Ywf7M0eTah7N/PIp5XDT95jHUMxOpvZbyfvsUvms+miGpzIvW8152JubmkD+YT677Ee59cYz5/QK+N66Yfj4a/3WiTzX9QFS71VDH4P/9P867j1GJfc474S5x8vtqeYi6n20AOn5HI/l10VR8qJuitdJXVBP6isrYj9nbFkI+ZDT38sPRd7qonYhm/1E8/b2J5ItRu4f6/lW8Z6VQN0wll7We99w28976THIdtmKSbWY+78zdz372QbxawF7CJe59XMy7MWgNukqtlfP7mlXznoV6/5o4++/LvOnf3GnssljuvoNWgKuox9veROtWI1Ht5C4qfdEoROt/vKmf+jAP6SCayzpx/wNf6hOovucnav1Qn4HqyG7UF3tyb1B/6s+HUztGcycalT3j2TsVxj33KZg2m+/ab3svmu9wjcFWtv0SuTc8hXcSMql/RcebW7k3MZ96xU98R9Ix6lkFvN/sHI4uZp7o5PsO2L7+G/mGJdzzvsN3qX8y/76SdxvV0O+HRhhqAY+4P+wF33m8li73BtUWtY/rimqPBqLu31g005oyf+6Gz9yZL3tTtMa2oH+gFc7ywtc7cD/KNvBd+qu64rru9Cf14s461D/oKyqh/ZnnoNU+UDSaDqbORXXKEPamj2Bv+yicFcz86WfshY4lF4vWuXHMa4UyvzeN73o8g/4rM/F921GoT7DrMZHc+TKKvQ7R3Dk+n+8es4D5Y9susex99TV6rKCft5K620b2b33P/so0bGzQ75iOn6CaYzssg3+nx5n87t3b2Duyg/s12ewtyeX74w5RL0d96WH2vjnO3ugT1Oknmcefol6Njj6FvLcKtRXnuTfkAvXnF8kFOfm+6CvY9ne+ZyBqw1H91K7novFpCf1tpbyffYt7b91jnoPKqir666vpqzXciXjK/uxn2P453q+9RPbO1BetMQ1ErRIdS9xENbsF9X7UxnixNwsd/7LrdDS/a08d2QETbLd1FPXt74vGya7s7/TlnUnd+Y6zvcg38GcegWbTAPaPfUz/jaHszQjhu/76jLtXx3Jn9nhy10PpfxlO/tOZ3KkfRc49mtonljtGPPmOifSzVnCn6yryOUncOYFawXrM3oBnN+KMTfyORpvxZjp7ydv4PYE78A6q7XLIrUCzaC+uzef9wkO8/68jfFd2Ifml5+mvKaJu7WRvAip//s7vWXiPXN+H3FtbxfxfT+kff0nukUu87P/VQNSrm4iO99zwJ7SOthC1QZ7kdqB61Yu6hzf5t3zIjUB9j11/0onap6to/IDqDl/2tvvxHSYa23rxblhv5nv8qX/vj+cGcHd/AN4I5N7IweyHhLAXMJb5uPHMp6A2JJT3JoeTm4XqvGj6DxZQP1nIPDsWh8czX4mqksh7LVfxXdNQK1xl31/H785OYv4YjTkp1JdRzfxeVH7bRH35R+5MyiFXsov+1Hy+4wfUGx5mL6aAu8EXyMWiUe8S+c4leLWU/N+oTbtH7s0H7D2uoo6twSeP6Rc8o17+nN91H5WDL+m/5pIg986jtchVdKxBtaK+aHo2ZJ7aiP6CZvQ3e9C/i1p0K/oD2uHRDvRT/Mht9Gc/PYB3clBJDSS/E5XsIOw5nlybSez3DaeOnSkaj20DZ4l67y+4kxjJOw/QUTafeuUC5pXo2LwKryRhswzenZnJd+ej6pHF/cQdvDc3hzuH0fHqBfKfoXoEFdcS8mdtw8uwfjnzy6hF3mPP7wHz4L9wQRXzPNvrNby75Cl/j0OoXXpp17UTZS/fVXR41sPkRonM0XB6JPLv9ybza56idsFLVEt9ROV+J+r5/qLeaAD5fWgtDsC7g5m7DWH+9VD2OgXT7zKO91JRGxrGPGs6+aAI6u2R5J7Ytozm/he2c+dxb/cC6jdj+T1qIm633buK7z+fQm7YRu73zqY/Iod30w/TDzhCrtNx3H6K7xxcQK5VMXuLUHU66Tt/5701JXzvNduGpdxZU868BjXtNndS75DLusedXg/IpaL+DNV+Nex5PGL+1zP0fMH+QJelcu9MQ9Fx0FM0f/KidvcWDdNH1H7yw98GiPqNIaKqhZA/N5Z5rXGi9dl47hmTqX8J5Z4Wzrs/zMC4CJwxi9zGudy3IrkbPw8rFpD7Opa7ViLv98+g9s0hF5pH7nI+fY999C8doV5yineuFvCO32nmCy7w/f4X2V/iJPd1CX2jnDrjDvnmD6j7orkNFW+XZdKvqCuqzZqIxiMP+qs9qZ+jdsdHND/xJW/6MZ/Qm3qjP3MjALOGisquEHLH0XHqU/rtxop69zDyC1HrE0F9O4rveDWGumgtdxwbyXXYhK9u5t6VDOrXt/I9h3Lon8inP+UId86gGlHA+3/Ylp3l+6af550/LqCvk+/4D2rv/Ztct0fY5wXvzHP5Wu7fcBX1241Ex14PUanVXNR+96Q/yUdUb6I5rRP1YTRuo/65H/t/ohbhT39OAH0jmP1R49n3nSdaM2OZz03kvTXJ7KVv4M7WTdRuGZidyd7qHN4/u5d9JZf95HzmZw5SqxX47gPePf2M/Fsv+J4LLsulb7iKDq86ormtkWjs9KCf7Ulurg/mofJub3Lr/EU9K4B8zlDuGCGitjOM/rAo8hdXYY8N3NuySbTittD/Np17TXMw9iDvzblALvgadd0S9huXUzeo4N3VD9mrqCR//znvV7p+Iw5pKJqfNxLVGA9RP4COs2jM9xS1Ch/mG4aSf3s4ud6bREXfRr5jGbV3uWj9hsaYB9SvN1oh85zGoiO8k6gHdsbbvqI2IVC0Wg9DlxGiemERXlzCne0Z3DF/wvyjonm9GMuucfevStHwr7VS7p9ojrt8RCuvk+jI8qOu3180+oeISs8j1ON+YX6t+yrprw0QteO25z8R1Y8SRX3zLtERk0f+7EnqV84z7/IL/Z5Xqa+0WC132vXBXf1X87uXiYr17Wp+13rRyN4g6hFpohW5i735P1Hrx0RH25+psyrJBzf7VvaHvS4qD1uI1ndt8MP36Ef1FHW3QNHcGkTdZBr7HrNFR4uvqHO/Ze/YGupvk0X10HpyZhpefUm/uPkaeW/Za6KW05X6YndR/SZAVIZ/RH/1UHK/ofLJCHITxjCv+kLUn35JrtZi6se55EpPiMaB+6L5BK3jf3JvWeO1kv/uLdEc97ZofNxB1BJ7iWrH3qLj7X7k6o5l7woaHyYw37sC16wWlXu55FocJbf1mGhNaLZO7rzhjp6tRE1pLVoeg0Xjtc2iMrlEVG/epX/YLUn6c9qJ2vlOonknRDT+vUB0jNNFXUskv3YDeX0r9cfZGJYjWkN248i8JMf/AoVE+sM=</binary> </binaryDataArray> <binaryDataArray encodedLength="9584"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="25" id="controllerType=0 controllerNumber=1 scan=26" defaultArrayLength="1577"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.84607e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.02072576e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.160064697266" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.777954101563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.331683333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.426334261894" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6876"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9156"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="26" id="controllerType=0 controllerNumber=1 scan=27" defaultArrayLength="1768"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343078613281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.6225316e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.40984e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.388702392578" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.832275390625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.34517" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.492223322392" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7624"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="10216"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="27" id="controllerType=0 controllerNumber=1 scan=28" defaultArrayLength="1673"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.5033812e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.35787392e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.16015625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1198.486328125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.35879" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.488640338182" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7248"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9692"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="28" id="controllerType=0 controllerNumber=1 scan=29" defaultArrayLength="1719"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298645019531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.3481784e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.82587904e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.664627075195" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.776611328125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.37234" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.525547862053" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7400"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9968"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="29" id="controllerType=0 controllerNumber=1 scan=30" defaultArrayLength="1640"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.7790516e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.81467008e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.143707275391" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.57275390625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.385918333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.457850813866" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7116"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9468"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="30" id="controllerType=0 controllerNumber=1 scan=31" defaultArrayLength="1675"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="376.343170166016" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.946974e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.25509888e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="193.045501708984" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.831420898438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.39954" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.459349632263" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7236"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9668"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="31" id="controllerType=0 controllerNumber=1 scan=32" defaultArrayLength="1678"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298645019531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.955154e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="9.6645312e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.110885620117" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.833129882813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.413085" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.410957187414" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7308"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9672"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="32" id="controllerType=0 controllerNumber=1 scan=33" defaultArrayLength="1679"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298583984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.0024924e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.91583168e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.092254638672" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.77587890625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.426673333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.428916662931" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7256"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJwt13tcj/f/x/GLspnDpoPDl8xFMacNqR0Uu1ATsegwYw6XDkNsqBxG7KIyzLFim+NFJYfGVPiONhfla7I5Vb77Trgkc5gNFfvOab/v7/W4/rrfXq/X8/W63p/snymKYtVWTdQURVG7/4ntG0z6f5Wk9qIVrYtacIyo1zq+mCqqLbJFc2UuddPDzJefwYrz3NleSd3ommhMv45XXCfLfoQqWuM7iMZ9tEqD8Uo0Noojf3exaJ/b4uRM6n9tEzXfLHxv32TecYJ6bin3R/5CnW8z33hPVHZ5xovD2ov6XlRDvUXzvg9eGE//TCr5R1txwjb6ZT9TL/yF/O4rWFXl7CtT5L1ftRONaG/RquonqgsGUq9D+5MgXDuS+R5dNFNj6H+JyqY49k6lkQtbi7OzRW1wLrmB++kPu0T94VXesd1lqtTPWon6SFW0M1E7gsbLr1BH9CU3XqP/U7BoDYljb4fjsMWi2d3EN7exPyELe1uimnIF/2FzJ7yKu/9Effgj+uX1P5LcCy1Fq74qGis6iPqOAfTfeEdUFkRT/xRDvflD9s+msvf9BvrDssm1zWUeflw0f6oWtS03yL+gfCzzW66irTQQlcPPU9e8KOqd24rGFh/RuodGg444SqM/J0jUmgRzd08Y+3k6dVUMuXwD2y9mf/YS9lxM0fwK7beyqAflcieshHzMCfp7L+IfV+h3scmloHHtKne/vcb3ul0n30OZJrkKF9GsfUE0UlqJWguVehratR3Jh3QWrc7+mP+2qNiOMSHcU0ex/43BXm4qd62totpxG/ve2dRhOezVbSffaDf3+h9jTyvhHa8cx5f+Zr+s/nTJ9XUVzXXNcKObqF91F+3fUXnsIVo722N1B9Fo6CNqi3uxX4nKm2/SP9mfO80GkF84nPte4RjyPvk0nXzXaPI7pzGfPV1UE2bgawn033Tsk8j+GdS1eez/w+Be74W8N2CR874U+mGF2O8Ye5OKuT+2BLNOY/8z3N9xlnwp6guqmHte43clV+Pie7iiBtvX8p4+dewvQ+tp/Rkyf8VV1IvQUJuK6qJmovWZG3q5i0qpJzbtQW5tL1H7wXGsL/OK/qK9bwR1w3C+80kE3zkygfnOGfSL0R6RIJqrUUlOxEOOWxZhYCp3/lzFOwLS2XuUgYMzufsd2h5Z5J7Pdu6idspR3c7vdPmG+fl89gMK6S91vHKMeVGJ83c6yzuunaf/axm5ueXUp9B4VkVdd435xGretQSV4nvUY2qY19VLkN+R6yqqiW6i0dCder+naG9TqYt9RP3rnuTG9hK1GscQX/rx/UUragD7/w3DDyKYX4rh3qqP+X7fBPLZidx5K4n++mR8exH7R9A4nEpu/hrHdHJuGcx3oF3tuHSbqDxD63E2ex/t5fec2IcdC8ndQqtfMfWOEu48fx6DUelaxnd9HYei0byK/Ro0w65Rj0IzEe0R1fwd/O9S379PHVJDvlkd73T5m++1c02U++moLnEXrVgPXNtB1Of5MK/tIdpv9GQej9qlXvSf+mGAxvyPgewVBfGdFWHMZ4Qn8jsjqftGkT8bg09i+e7QOHLe0+l3TKJ/CM1di7hbloK5qdzzWINxmXz/9jb2E7Opb6B2dS+mfEP+YT73ywrozy4kvxDNOrQLj4rKpGLmrxzHzid4x/1z5GaWUQ8vJ+9fQa4/6l/eZV55n3nvGr6zqhY3oHW6DpvUT5J9DY35rkn83ZrRb+suKgmoLfYQ9YtoLPPE3s3Jd+tAPtFbtCt7cM/Tl7oIrWR/9hoG0e8xXDT/FUG/cgJ3bkXzvQUx7JWh3mk6+b9Q7ZvIXrMk9rajNmkmucxF2CWFfCiabVO5W4DaaTRil5P7x2r647PITUbjfDb9r/aS+/0bXJDP75lVwDvWFNL/9Aj1+GPcuYL25hJ0O07u8jnelXgeV5Qx31bOd/PQ9LuIY6uxCPUf7uPYGu7lolHg1F51vLviEe+5UG+mvCewgajcbSLaAR708z2pBzcXtVpvajcf5kcckzsyH9VTNLv2wuf8mOegvtSffueBovFKMPMvUNdDuHNzBLkb4TN5dwT1B6hej6QeMIpaGc27Jsdwb0Ss8160bk3m/sip9H0TMCCR+cMk9pWZ3N2Zwtw9jb9LLtoDV/G9A2gnpHO3ZwYeRPtsJvuHs/BfaF7O5l7rvdT5+dRHj/H3GFTCnadozTjH92rPc+e5coxCo3EF+RZoKNe451lNHYB6q+vcafg7/ZAavr/J8VfUH9Wir+ss6Qe6ifZ2NN7xpB/pI2ofdmQ+0o86Gq3VaHb0F5VdA+n3C8I1aG92/GKoqIaE8Z3SCFF/huq5SO5ljMGH0dyNimF+G+3oRGw2E19O412+aKSj2jCdehxqSzLoe6+l7o7W/Szqvjl8NyQfN6MWup93Rh1jfzdqsSXsLznPOy6j6VuB66roJ1ST067TX3mP2q2GewvR6FzrvAeVJXXst37A9ya6zhbXoXHMqbs2ENVcNCo9qBM9RSuuuah0Uunv8Bb122g/ceoyH9FM7MidU93Y+7k7/a69yO/ozZ0itMvR+BPNfn74I2rlgeTrDaS/FrUDTn0SlUtB3EsPJl87gvqp4zcR5Ioi2RsRRb/VB9y7EMP8ZCy/p+kU3uU6nXktGs8Sne8u4u/TP4U789Poe6aTH4Lq12gkZXBXy+Q7y9eS37IBV+XgV6j45VMvQ6O0gP2/0di4n1wuGl2LqU+U892Kat7nVcf8Z7SrUFvrMkfudXPFXx2nPydqkR6iehvNCu85/DuhOaI39Rp/0W7Tn37zINHaHIxBw5kPCWd+GdXgCL5X4Ng0knveaHaK5R290OoSx3wsKt+j9uU08l6JuAP1eSnsfYvKk1V4ZQ39cRncm+F4ZRPvWryF+UdZvLsgn72EQu4/v59c5Lf0Py3BgDLe8wCVMeXc3Yf29Qr2t1Uxj69mfrOW+gFqXer4fgRqU1GdjeYR1H9x+UTuerqK6huO7TxF089xt7eoWI5RPux911HUlvripN7kC9D6CY1Sf+ZKEIYEc+cZajfCRD0xnO+XohUVRd34PfKfx1AHxJFfPA0LEvjOC4nca5HCfqNUXIBGDaovLadfm87dQWt5d70s7mU5RubgnXzMKCC/CY2DaD5XyHcvfM/9LcXoWUI/vpx965rz96tmPhX1OWh/WIsedcx1NNLQnPvA+fvWnyvvT3LBeq6i1h7tqU492wNTUPXzFJUzjru8yWs+5Bb6iuYLvak7+5F7fSD73wWLessw6v3h5GtRtSOYNx5DnRnHnS0J9D9K4t7ldNGwsvBZNvOJ+fyeFwpxB9oXUWm8n7udHJNR+bsYW5Vw5yCqT49z/7sy7j1Bs2k5ubZoRaK6Gc3GF+jfvMb7W1dzX0Ot768Y+Afva1XHXihqoQ/pn3eZJ3uGq2gmP4chHqJ6Eg0bzRWeohXljXdRWeOD7fxEfQQaJ1FrH4SvojE4nLxXBJ5EtUUkcx2t41Gi3SWG+iBqt9FcEEv9RiJzryTynTK4cwDVYtRuZbJnZTl1NvV/UZuUw/vHFeI6VG00H6H2dhF1LOp3iqk7lzh/T8ff0bxxnHetLuddW1DdXkntXk3dDa0jqPWp485U12SZH28iGpfd8SmquqeoZaBd540enZi36808ybEQjd8GisrsINGaP1Q094WzPy6C+kg0e1NjuLcb7R0J9Ecmcu9vx3VJ3Bszkzo+zbm3nP1+mdxdgUY5KlY2uauo7ssjF1qI81EtRaOiWNSnlOByVMZUUe+u5h0za7m7pY7+edRuPuTeHtf5Mv/NXdTaeYhGAZqdPEVlLZrxPqJ6EM2GvcnP8xP1CjRaDqS+iVZVEPdXRlF3jUXPmc7dVOo5mdzfhIZ/NvVutPflcfdAIXsTD3C3fhHz9GPUv5Xg/jL2/yrnfqOf2Rt0m/sb75Lzr6Mfh9a8J9TdXBeI9T1F1R+1jJb0r6rU8zvh1B6iUtpbtHb5k2s9lP1t4aKxPZJ+ZBR1YSwWx4v20STyu5K5dz6V+g7qB5dT/5XJXuO13NuzmXcM3sp8XTb73XKoT+4kn11IfkIJ79x+mlyfM9wfXEZ+FpqXytlzq0Ub1QF1fG+WYyVa7Vw+lfnbqF91FY2bTURT8xC1k6j38RLtBm3ZS+1A/z/e1E988C9fUXnVj3oK6pPeon80iO8EDne+EyVaCah/EUvtEcf3DyRx5zbq9WZypwOaA1K5dwH1nmnULXNwRB53DhZQjy9kr+l++p1Q//wA351aQu7zMnKp5eRa/Ew/oZqc902MrSM3B62BD3ifVc+Qu9XPi9brjaiHuYumb2tRPYpKZ1U0pnYQtdCu1ImOyWhmobrcF1e9Tn5nH+5370subwA+GYxuQ7hTgHZcKN+ND2N+KJz93PfwMprJI9lzfZ+9v0Y5/dFY+gH9bmN4T9I48vWiub9mMvdGxFN3SyLnPov97z/h/aPm0p+Mds9kHDqfedFC/o4zU+i/s4y7cWgUfs7cfz31JFTf2YANTb4fvY1cHupds8g32cX8O8eje3if1z4cnk9/Eao5qP2E1tJD3Ek7zN2lR8iPOkZ/G9qLipkvR+2zE8wvniS/8hTfC/0RW59l/u459sLL6b/4C+9I+MX5+1XSz60it/tX9LrN/teohd/hHWod/XOP8Hb9hbI/spFojHUXrdc98NXWopruOLID/SmoNvZh7/4rorahC/3t3XBnD+bHfNnL602/UaBoT0F12AD2y9FoFkQ+Af/337OovzqEukMoe82HcmdnOPXkSO58MJJ+xWhRmT6Gu7NjqUfFk7NRWTGFuZHAnkcS/fxZ1D7JfN9cRK5bKvu5y3hnznJq/3RyFtrF6/C59cx/QGvyRrS34Y1dfK9LHi5zXFPIvUMH+X19/sn3vyjiXsAx+mmluBut0049vpzvz6phb5Xj3cfMH7osktqjkah1QuUUWv9G/T7aq5uQe/AiuQPu1EWtRTPEi9xOVMyX2Q/zQaUj+WZdyb3XnXqLL+/Y6cednD7U91D7JpD98/3YuziA9x0IYt4xmL3L75AbPgSvojk5lHz/MOrISMyMwr3vcafD++wFj+b7H4yhH+d4V6cfGs3elFgsjWcvcSoeTCAfnyiqIXPxr3m4K5nc8kXklFTe1/Yz7k9azrwUlbx0fOg4I5P8WTQy1vF3+fdG5leyuVu2i/eNyyN/OZ96SyH3Gx/G9qh2LcEkNHv8yL2eldy7UMX8T9T9q/HSbfJP0W51h73VNfgnao8ekn/2iPcUP2ZvyRNyLV1S5PeUOo5zFa1VaM9tJKpejZk/QH1tE1Gb50Z+kyf5W6j07yaamX7UGwK5k4Pm1iDufI3q3nfY3zWUe4nD6eeF048bzZ23xtA/PY5ai6VuM5F6fjz3r02hHjQVu03jTkoC3/0Njdq5zIOXcWfTcr4/LJ3fdzWD3H83MnfLoo7P5s5+tA7mUA/dznc8c7nbajd3pueRO+Q4fS/9Tw6Ru4Hmx0XcGfUj9ZYydKlk7wfUh11mr3E1deJN7iXeJu92B/1R6XuXdyfdJ6/X0J+Ldj5qRx/wOw8/ot7vmip7UU1E5TCa5Z7o1UZUB6Bx0Yvc6Q6iVuUj6nsCyH0SyF7jgfSNIGq3UOafDRXt8Hepu0dwd3WkaPUYST5jNHVoDHUh6oXx7EdM4R07E3jHtCTyM+bQ3zeXXOtk7s8xyHmn0t+JZi0a767nPWF51GkFfO+9Qtx2mPzAItxZzJ0hJeTHnmK/fRnfv1BOf9h/2O9ykb3Vlc7fEa1V1czrUF1zk/1dt5kH3uE7j9HcW0O/RR255g+o2zzFQS5pci/0eXRpKv7v/3NF6x4qB9uIdqEf8yGBopqLxqi+5Fe9Tf4/A+nfCSZ3ewheCcW9kaLmGcVewfv4w2i+M2oMtTmBO2ei2ZsQS3/zZPbnTxHNiVP57oYZ1FcSyC2aQ3/9J/RTN/I7G2Qx7+8Yspvv7kCtNJ/vRRew33w/ex8eJH/sn9Rni8i1+Y69KY4Li7lXUULtf5za9wS/Z+6P1AE/8S6lnDsLUfGppE5zNKvJb7vJ97PukJt+l/sPPBfLnd+8ROWJ4+ve9F07iuq97vRH9qY+6ifqtr9ojw8QtfWBqAbhVjRyh7K/JxIttI++z3dejyGX7Bg4Bd1mknvjc+59+xV23cj8pU3st8zhXYfyuH+sEOOK2O9zRPzf/y+yb6Na/QOqJ8lPOkUu4Ef2IlGbVkbtW07uv1eo/R84731KPdvlM9k/4Yo2asENRPNGE1Fv5i7aaz3I/eEpqvWbi8YvXswPeON4H+5cRfPD7s49VD72Y++uY4O3+M7HgcwTgrizENXMEO5tjuBO2BjqyFjm8cn0Z6TyvsfL2V+ZwfzF9dzN2Uj/vkk/L5s7J/bxjt8PMD/+Le/pdZh58VEsPE7/4AnyRafIq9f57u6bfOf4Y97T+in1VtclYocGop7bRLS+9qSf54X7fUQ1t7uoTfCnnxFIfnsQ9aIxzIsm0N8bw92KeNE4MIVcNRqrDOZ3U0TzyBLRfimP3HOVfLdpNXevojL2FnvHa7nzxxPm7q5Lpa51nNZEtJM88bqPqP/eXbSOB4hm32z6Wy9R3623THzsIioFbtSTu4taUqBo/RUhGvU+EvUViaJdOp+6x6fsXSpjr/oi9+7/znzgA/L30LzZ5nPJ5fmIRlZnzO+OmT1FK9dPVOe8Qf+dIOqaz9gfe5r+4QrRdHlI/Yfrcqn/bCLqDTxF4wbqt3phToKoDcoR7c17RGvrAea7vmev52lReesCucaV7O29y/yy1wqpffxFo+kbot61r2iP6Mfc/W1RPZMqmqcXi9bVlcx/Xcdewh76cw/QN77nTqNivP+Q+a0XV0p+WEtRyXhZtNZ3Eu0BrzGf1o+6XaRovDSRXPNpotZ+Nv1XPqUuWImH1rF/dDP7G7bSP7md+noJd4pv8/3t96lfe8z83DPyC15cJb/3nKdo5LYRtfyX6R9+TdQvo70kCN8dJFpRYeRfjmR/3Ejm5z9gv+Zj+o9miWq9T7nnnUN/K5qPvuZOQD7950vpT7iJ95/xvaxGq6VOa4ptPUQ10ovarQ9GjMOZiaKSlkquKo3+rRzR2nGF/r2r1DVN18j8tY6ilTdA1LcEicrkwaIRE02u8lP6L2TgkC04a8ca/l3zcOlhUfvzKPVXFdRf/sKdkj/QtXE632shqtM7i2bYUFG5M1LUQkZTB88l/14yueELqMcYuPpL0Q7ZjaF72Q8rYD/yIP2ow6LR+ki69n+HHSk1</binary> </binaryDataArray> <binaryDataArray encodedLength="9704"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="33" id="controllerType=0 controllerNumber=1 scan=34" defaultArrayLength="1687"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.0783212e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.65109056e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.829956054688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.7763671875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.440285" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.430100351572" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7308"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9740"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="34" id="controllerType=0 controllerNumber=1 scan=35" defaultArrayLength="1636"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298492431641" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.155882e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.836672e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.092224121094" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1197.83203125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.453828333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.418910950422" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7124"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJwt13lcFvUWx/FRQdwqBKyukk6IlkYpguWaY6LmkgvgjjKyqKi5AGruI4J7Loh2M7WJxZVSAc2UdELU1MyFh643TUbEXVsArcDlds9n/nq/zjnfc37z8Ie9UhTFqCgdrymKYueUidqA3/HNVyb8XzMvSLSjddHoFS1a5ag8n0zu5RTq/NWi7pGKjTLZv21RpxaQm3aDe773RM2jmrvta8ZJP1zFSD9RO91TtAdG0i+JEq1Tpqi4TormL2iccYnqGZu9z25QuzebKLkbqqjueRX7Naf/h79o1Wsh6uN6MP8gBF2RzF+dQf5sMn09nfy1UtHOvU7t5z6J399UNC40E5Wo5qJaP0C05vfAj0JEMyUaN6H2CI2Hn7O3xhT1UxnMZ2byzvvbubOukHn+Vax/nb1h6mS5m4/qO1HYNxa3oRFgito76aJd7ahniMqUbeQCLeqiAvYbnKZOKuGdl236B0vJj3rG3FXzQ/mu2Nq4o5mo1VRFY5WfqF5Ge/t7OLunaIaH4/wo9s9GU/eJYW/rOFHJWszeuWRyH2SK1qDj5M6WOflb5G67TREPeojG7/6iVbOFqPj1EbVsndy1aFHNNeg/WUzttwRnLSNX0xT1TxyfT2feIYO693beSd2BLX9h73WbOsl23rvGdx28zveYN9lfrkyVe4fcRfOah2h8UIfaW6VOf1W0er9OfbGjaEe9j+6Rov6VQb0tmVzzdGq/TN7pnyVqFdvoz94hKm4Wdiuk/+dJ9otqTpN8FzdR3dxQVK55iXqVN36oMq/jL9rd21KvQm1JIHtXHGd9QH/GAPJDBuEi1HxDuZusc6d1lGjunEo9fTp33opnr2MC8x9Rv7KYeWgO+YF5zv2j3C8qoB5/jHp0IfnCc6K1/Tz3kmzmC0rR+7pozC1j3qmS/gTH19ymi/mO4Z6ivrShaJ/ywRSVeVog9UnUBrQTleLu7L07iDoajQ9R3zeY2iMUZ4fh0bGi+fVUUY2exv6u6fQLUBscL1prUJuZgPNROYT214u42zmZdw+twE6p3K9aT75PGvW3aHtlcN8jk3fnon7Gqd32Mr+QQ75jHu9UHmQebNH/toC9ErQOFzLffx5LL/Lub6jfKOLOHBc+KaVfcZ3vHF9Gfxkq1Y6df8OIcu6ureD9nBrx8m45KtvdRD2+oajW8WKe50P/oL+ojWzB3GjL3uhA0ezdjvmJTuxN6s7esPeYu9D+cyB2GcydIWiNDCMXi3ZVJPcDpzN/nEj+SBK5w8nc77OOd+ejNS+V/vb15Fekc+8JGtWZ9Fvkkb+F2rvHmG8r5P7n59jzuMi8Jyr9i7gf6xhWSm7gdQwt484ff2Dvct7zrCR//U/urKyVIDZ1E9VUtJZ60d/gh0daito7bUX7SiC5oHaikdlB1Fu/x/xwCPeuD2TedQgG6uQexzDvF0v921RsPk00byUwb5HIvW9QcS1mvj2Ze17rqGPT8E46/QUZmJDJvr0HH+XwTlEu92fmURtojT+GLY/TL7/A3owi3v8Mre9RH+Ti3eBi/j7nr5PvfoP66R/k2pWjVjNRvmu+G573FE1fL1GNR30hmine9LejdhmV1n5O3Qb92pL3aSfa+WhtCSJ/C7V57em30Kj/NQhPhPE9d6LIL4jmXRcqLadh1wS+zzORO1moT5jBfEMSe60WM++LSl4ytbqWunwdezfX0/dOo3alsx+XgRcz+b4Ze/hdDfaSr53L967N43ePLmB/ayH9hsd55+oF9uMv0n9aRP4LF3d2ozmthDqijPpbtE7+Qd2kkvs/1ZghdnbHaE/RPtpQND28RDXHh36fRjP4u/qRL29OzvIXlXkt6N94i1yDtqI1Dk33YOostJe3p369B/uf9BS1w2iP7MOd24O5eyuUO6PCsCycuTKCekI0ucEx7Jej9gT14ZMxZRrvvpCADxPJKTP4ju/n87t3LubO3GRqzxTn+1GNT6U+sJ7982n0SzKpL27jXtMc+nMO4bEC7F3I/cdoll/kXtsi+p1Qd3cxD3OsV0zuWSm/36uMfifUnr+BL6Pdu5w7f1fwbqDbTMm3cMfODUW1lw+G+4tGpOPyIPrDgkUlCvW1aPq3F+11IfRNND/tT37+YNH6PkzUnjpeCCe/PoJ3wqPJ30UrKoGc5wxyTVO4m4r6taXkj6+h75FK/tUNfM8baHZx6i5Z5LfmYL/9vPP3N8zfPI5LL2JgMfsbSvm++DLe7XaD2ijn7/JaBZajtbSSeXCtWXJnnBuuR7PIqbe7i8oVb9FK8BHV2Ebk7jTHx6hF+JO7gHpCC/YvBZDbEUSdj6rLqf9EvX4w73ZFba5Tn0GrBM1n77G/oQf7B9A6hfo1p07tSX7EIOo9YXgonNygIewXR2PXWN51m0b9JAGrE/mOp4ZoLE+iPoV6vWScn0K+Tyq5lRuc372VuWcG352RyTufZvE9QTnUp3Kpn6G9eT/3auVzr3sB85xC7v14nv4JF++4ysj7VvLOJdRKUdlQ6yPZa+UmKr+j3tKTOtxbNG+jVtxcVLu2EI0OgeS2thPtQUGidQ3VJ8HsrWtP/4938K3O5Bf2YN4ohHe29qQOGcR+xGByv4RibhjvNQ/nO+9HkW8Z4/yOWO58i9YrCc73obUD9bWJ3G80g/3sxfS/RmNzMvXjNeSuruNuYiqOWc/eK19wf2IGdU4O+9Pz6NfeT72gkLpTEbmHaIxycW8f6ncuYVwZ8yOOl++z5/47f4eKCr6rVSWGoz2z0tlz+tXVvPuO22ypo9B4rgF1ex98t7loHkVtqL9of9tCtM4GMT/dnnnvntyZgOoT1NsMIj89lH74EOp6Q9lfFk3dOZa60zRRyYnnbt0E6hL8579j5MtTyfdZj702kKuRwV46GmFZ1PdycH0u3+GRx/edK8I4F/cDrmNYGblJaM9CfVwFtVcl9yJRnYPm3Id8h5cyR+aJtUS1hptoqqh5e4vGLFQWoxXog6/4stfdX7TrBpF7oT3z6BD623thbijzkjDutw7n/q5YHB5PbgtqcYnc+Wsh891J9OutIncljfq7DOonmXx/nTzcgcYvqNfbT73vKPOnx+jvKuTOAdSfHOd3PefibhhqW1E9hHrdn/i+eZeYP7nO3W5l1GNR7XKTfOAd3u91Hzv8Sr9fJc5Fo+8j9i/Wmiv7C91E7UZ97NZQ1N/3Fu0SVD/2EY0VL1Kv8Sf/mePDdtg0mP0wVHVUVjj9k2hN6sT9gBDuRqL6fuhc/n6oNQljvg3NU2j7hNPvhHooqq2i6d9B5e0EvI2mbyLz/y5mL3UJe+HruXs7jfq/meTvofKX47NcHJtHfj0qJU79Fxpu+6n3H+PeXTQXFDK/h1rt4+x7o5p3iu9a6aL/OVpeZey3Ru2oY4dK+pOreC/ObZ7sXfUStUgfTEXr9RexsrloeLUUzcQg9vLQSgxh3qqXaB8ciHtDRX1MmKgmDSHXaBj9I1G8Nyma/nxUd8bTf5pArtUM3olApUEy+Y/T6LvQfrqTekEe9Q9oFB9jr1EhdRhaE1Fd5tTP0Pzqv7wbUcp37C7DjyvJbUX7IqrpbvNlno3WWbQXvCAqTb1FM88xzUfUE33Zm+gvqjODqYsdL3ehP2EI954fSb91DHcDEkTjCNreM+j3WsjexGTee4yWmkJdhFqbVJydxv4RNIZk0N+Vyd6BPJx8hP27heTnF2Eeqn+5+F3WdfZbVLAXVMl3TUD7MP7z78YC6df0EbVgtA3HCY2wo69oDUNlaHNRfYa6pz/z1p0wpRv9ZyG4LZw7uTHszYwVjZjJ5MOn0u+cQP5oorM3j9zQZHIXUb+HWv0NuH0jZm/FjZncy8hjb/R5TCzi3mkXdWQZFvyGnhXslaDevZLfO6PS+X1V1LbbQvk9NxpgV2/ROIVKBx9RnY1aA3/R/AvVWq+RezMYu6E1DI041GaHYGgv5mfDnPwQUY9H69NIvmNjDPe9Y8k9RW1/IvUdNNUZ5O8spt89mdxbKVi5hLv3V5F/KYv86DxcfoD3JxWy3/k4373xNP2wIr5jiYt7jS6xd+0Kdb9fuFtdQt/vNu8lVrAXXck97SHmP8I+T9g7WsOQO0NqGfy962EqmoEviNYlNDd6iUY1au82FtXdvqLt0Yz8JD/mMa2oX2xNnYDmPMfNaO1z5p++wf1V7fiONW/jzE7cX4dq9nvUoX2wGq1Ffbmbg2psP+7GDeTupDDy2eGi/q8h9McNY99tOO9VjaCOGsn+PFROj+L+GxGoRHEvCo0HceQGT6Q/07F1It+zYiZ7R2aTHzaH2kK77Ty+a0wS859ScNZS7uatpG6/CXt9xv4NVFZtpT88nXu70czOwtRt3L+2k1z+LvaScjDlMPPlR5nPLuC7Fx/j77ESlfBT9K+g1u8H7tc6Tz/URS6gmLrXz3zPdMcRV9h7q5S97Wjsvkn+zG1scpf+l2gPfkB+ziPqC1V4vMYiuXevpmgPrSca7g1EPclLtGa+jIMbk9+N+jA/9uJQT3es5y8qb7dknoXatjeYewUw39kGj7Xj/q4gUR3zNnt1u5CfhKZnCL7Zl/lL/dkzB1DvDKWeEE7u9xHczxnJ3WLHqRE4YiLWTWC/Iyo+ifT953HHTGJ+2LF1Mv1tK/h7Lf2Y2kplfmwj3z36E373+U3k4jZTb0hnbqOauo29kF3Mb6H6WjZ3l6O+No/5J/ncSznN3m407IvMx7j4HfPuYs/75Fo+4O7Mcvpr0N5Qxf3fqqmPPiXXtmaS3N2A6kmntlHr7oZn6uF+L+ZtfEQrvzF77/uKykB/fKE1/aEB+EU7+juDRX1EJ+6cQWVvF3KX3+Pu6R7MD4SI5tVevD+wL4aH0/9yKPshI+mbqIyKwFi09RjenYTW9Mn098ezVxnv/I45+Pdc9lclkS9B+9li+q+s4Ptqr8JX0B7veMrpP0zl3fNp1B6f8t4zx/9sRs8d3A3cxfuxefy+rWgP/ppc/cPkXkUtsRAvnOY75/xA3eYKuZ9K6T9yHHeXu0vRuOLUNx3P3eO9xve586icO1WPyFdVcedYNfWyx8yVZ+z/UHOx7L1YS1ROo7rGTdS71xGNJvXpV6KxoQF7cxpS/+Utmpt9uHMH7bK3qNOCRSuzM27qwv4XIbgbFa/3udMhAhtFY7cY9uZNJFdjEu/2nEy/7oe4OJ75ITTuoZW8nN/jSuW9tZv4vsuo/53O7/PM4L24TPp5aHlvp5+8i/2XdtPPz6ZfdoB7tw6zNzWffsURcgsKmEe6+L4m/+FOrSt85ynHumXkfnScfpdcw/vUQWh9VE4+F5XOlXz/4SrmuW7J8n7tBngYdZcP9YjGot2tiahd9hWta/6i8VEX8vV7UC8MYW9pf1EJCKOfhEqbYey3HYV9o+mHTeL+S/HiP/8fST0lEYsdEz4iv3cO726cy/1/zWOuJuMutCocmy7lu/auYq//JvoDsumX5nDni8PYI995H/Wdx7BvIfPRZ3DwD/x91CLmvV30XWg2K+aduj/z3auvMK8s43em3mZvx13udLxPXY32l+V8h89Dao+/2T9RRd3kCffH1kyR93rVwr4eor3Xm/qzl0Rj38uietBX1M41I3cigPmrQaKyP5j5pR7MB4VQl/Sj3hMuWvuGc+/kSN4ZEUHfHCvqegz5z+O4uxutcZN572o8tW8idxbiP+vk30ml3z2DujKT+dA91GNzmfvspx/7NfW5fOZJx/iOqYV8R9Bxcu1Pkltxhn7HH/h9s1HtfJY9xUW9yHFIMbn6l9mLQSu5jLtbHdNvk+tzD33uY/EfzGtUcv+JskT6D31E67Evda0Woj4siPpoMI7pLJqfdhENM4T+9v6ikh0u2hZaBcNF9UQEc/do+m+jumA8/a6TuLd3Ct5IIPdgLvf9FvI9sf8m32ozuRe2kHsxi3e3ZFN/g+p3eexF51PbheSuf8++5xny49H2uUu+/UPyXZ7Qn1VrqXxHiZtovucuqln1ROtWA9He6E39zEc0Nr1Ef39jUfnZV9R7vMr8YHOM9CdnozIugP4tx4nB3P0V7YldeD80gu/qN5m79T4k/+UsJzePueci8ploVK2i//F6NNLY37wRx3xG338z72ahkp3J78/bSW5VNndP7qPfMJf82jzqwu/Ym36G/pYLqN7gfvdKPFFN/vxj7jZ+wt0FbstEEw0/d+rtDfC45zK+y0fUd/uKdmxzzPFnPjaA+qNg0VrZn3vvjqKfHc29ZTHkk6fSX5vI3V8Xkz+zStQupjHX94lm+g/sfX6O++4/M3e/wryglLpBGfe+uMWdggp88Jj75W7LJf9hA9FIRmVrQ1FP9BHVKb7MjzUjf9NftKa+JtoPAtjzCmZvUntRu9WF/PgI8vY86sgkcreT2a/zGfdXbiG3+gu8ls38nRLqGg/I+f9OPdprhbxb1UTUp0aIau040Zw8G+vOIXd+kWgfXSJaJ1eL2uo89n8pEo0PfqZfcpl79x5wp/wh9eY/yeU/t1Lu7PIXzbwAUc8Kpn+uj6hcnS9q9iLq6ymienM5/V/Xi8aA76hPo1leTC7mJ/pPH5DzqOKd+26r+Pt6itZNH+rXGotaXABu6SuqTccxHx4nKnVnUA9aK+paGndWbSO/5Sv62w6Ixu1D5I8UcLfgBHWbH9H3Av2OP7H34k36bk0+lvr1rqJyGdWXu1F79hC1lQNFa9lQrDeGfsw08vsM7vy4hPrSaizdKJrxX+FHB0TDOMI8renq/2tvbCmq775FPbYDThggKr7hovXcePrdp9D3mSrqr8yiP2UZ5qwWjW82Mj+6lX7hNuovv6Yemk8ushBX3OSdj38TzaKnvLPg+TUyr+GDS14UlT1NRT2vJY56V7S8u4vqgN7UQwaK5ppwcuVT6HtMx79nOvcXilqdpeQ/R/vH1eQCv2N+4hH935/SX1lnreTPvCQaW97A6gGiPWogtecs0VqzStQq1zD3+jcmbSLXd4+o3zxL3aqY+5G11km9yUO0x78mavX6YEwY/QnjROuDJFEds1LU3bKov0Nz8lfodYp8tzPc2XwVG93DI7VT5e/9Qn1RnfK6aCUEiGZgL1Gf2pt+T100msWL9nCD/bHJWLGcvbWbRS02k7sHdnHn/d3U/fcwH5jLXvjXqdr/AMvn1hc=</binary> </binaryDataArray> <binaryDataArray encodedLength="9448"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="35" id="controllerType=0 controllerNumber=1 scan=36" defaultArrayLength="1670"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298583984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.0259064e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.92913152e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="190.573440551758" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.776489257813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.46741" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.468330532312" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7232"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9648"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="36" id="controllerType=0 controllerNumber=1 scan=37" defaultArrayLength="1866"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="261.131988525391" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.9557364e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8.5670496e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="193.045364379883" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.77978515625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.481046666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.470314770937" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="8048"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJw11Xtcj3f/wPELzYw2UtihcakwZhuq2SZcyGGEVJjzRTnn1GFrjpcONmcqds8cLpVDabjrm8OEizJzmG2KzRiXypkdqjHH/e7H+3X9/no+3ufP9c1jUxTFjG0+SVMURT3eQdTeHisqI9HuFUm+DK0qVOonY+EK0WicRX/3w6JedYy5F07Ql1ROPuYae8LVyTI3xkc0/0DrZE/yxeNF9btZ1L9NJz5litqF4/SdKiXOt0W7upw906uYC6w9RfIVqmgMbI67UQvxFVX3FsQbB+H5MeQzozBmvKj/kCya7VezZ3SaaOkZeDuL+W/3crf5d8RdS4l3XMHZZcyXo73xGXcifadKf0FLUfENEs35PTAhmHr3MaLuP040FkWK1jq07ztuHE9f+Br6PsnCPtvYF3mc+vOXsdBm/4vluO0p7xhfK1r6P1JF45DjfT/y6wJE641gUQ3tSXwG1ckj6Ouhi3bf8fj5ElF/yyR+L4O5AYdEJdDiTtIVfNmmP6xM1PY7lpczX1pzmtx76CbaK58T9exmxMt9RCupo6hldyc/bxxzZyLJb5xAPnG2aCTMob41iflbqJ1NZv/jL4gHZjFXgPopJ569hfn9Lva9XsierGIMPUY9wXHid/TV+V5U4q+yp6yMO2cqRHPjDe5sc5su9VuOCc+LWiEaUb74lx95txai5d5TVIqHi/pOXVTLI9Fl0P9vEvO+i+hP+Fw0a5nMrUP1g0ziPtuI07cT17OYn3aEuFMx8wnH2D/gMv1tbN6VhEr5VfymnO/yfn2GzJU0FW1XS1H/8A3RmNBHVF7TiZeMpV4+k3zLDOb8skTr/lbq6nb2akeZ61osag1KyM8tZ7605kx5Z5CbaDWqTfyfBqK93oP81Yai9tiTetMmonHNR9Tr+OFctLu1Y+5Se/p7aaJypxtx1wHsK0Y1MZT+9oPQO4w9bcbRtwHt5lMwewZ9+1FNmMn9t2PwPTQGorU+lvgHtN5JYK/5KfErBvVOicR9Te58gfrdLOITu6kPdHF33h7ne47i5CL2jCqmr/gH8s9+wh0XubugjLpnufO7VRCv/Es0s1FdXkm9UzW/31K0ntacJfU33ESrENV79UU9sYGotPfAz9F8vSFxPU9RO+kl2kfbkV/Tnr7v0BjVgfhtjb3nutE3qif38gYxfy2M+kydujWWeNpU5tNnsC9nFnER6mExxKtQmReLB9CaF8f+fQuZD0qmP20180Gp9KWh9jgNP0yn/yDanpnM3XCsk8X8XLROOXHSLjybh51c7CmyeNfho+y30XqK6sFi4m0/Uvc+y93xaJWjcQ+V6yX0zSll/iTaH//K3X/L6Ksux0kV9C92HF3Jd1TViJG4oZtob0N1fANRj/WgXqehaBZ4kQ/2pv9mc9Eq8iMe1kI0jHb0jWpPXOnYpwP7W/rTPzCAvTc7ikolakO60//PQOqdB+GwMPaODGd+vOMJx+uz8Gkcdw4lMheWzNxBNNxTePfnS8mXr6R//mrq81IxO438dTRT03nf0s3ESzLoe4bWhCzqT1BZn4ctXeQPoH7LsW4B+0MKsWsR/f7Fzt8DrZo/0f/8Wfb0RqV/CfmsUt4TWs57RjiGVbBn55/syf+LuNKxdyX5UVXc96hmj47KkJqxEjdzw1RUp9XHKg/ReL8hfo7mWh9Re68dfVPR/q29aAV0oL4Ozfr+2CmAvqeoFgbH8vcZyNz8MOrx4dzrMpi5p1HYbzx9vjOZOxCHRWg/v4C+HYns75okKqWob09mPiiF/msriV9ZRZ/nat79LuoT0skf3IQPNtN/OwMXZPLOw6jHZXH/Bqrlu9j3II94oYs9bYqYn4TGomJsdcz53X9iz7oS3nnCMbSUfYHn6Nt6kT69gnyPa+R/+4t9SiV5f1ROOP5YzXu71YyTd8xzE7WfGoj/+/+AqMSileJJfAn1ZV6icVll7k0fYt92xI07sOcgGkUd0a+7aDfth5Gh7M8exN7j4cwtiBTVc6iMnkq95Uz2dI6lrwztBnHktzpOjqe+JhFbJzHfD41myex1od0qhb6P0Spahs1XUf8jg/dMySR/NgvHfE394n+pB+RxZ7WL/WOO8ntsKib2Okb/5Z/ojz1LnFHK/a9RV8/xzlEV9B1C/TEqJ/6if1Ql83lopFeRv+HoXU19b814eUfn50Rl8QsY2UA0gzyJB6Gd5yWq/RpR15qTr/IVLcuP/nkt2JvTgf7nA6hvQXNJIHHrHvQ1Cibfqif7XuiHtwaRvxlG38hwUb8WEc/fM5J8lyj6B6FZhfqwaO5/NpO+oFjufor2/Tj21IgnbpTE+3NQfS6F2BO12FT66qSxZ2+a8zulk/8R1YUZ1A9k4reOl7N4V6tt7GuWh6PQykOjTz75uS7iI0fZ37sYn6JR5yz3R6NehVbtUuaHoF7vHEaX8T01yom9Kohbot7Jsf419ryC2oeVuAnth1X0zav1sdzv4CbqRfVFa0ADUevsIaq9vXCwH/2L/XE92h8FMB+Jymq0WwSyZ3In+nN6iEbXYO7MQzsVlU1O/GUI8bSB3J0/iPkrqI4KY+/JcPI/RtC/ZiTvGByJz0XR/+JU+hfOYv+4WPIe8czNTMIvUG+WwvtaO9ZJpT4GNd819L3lmPEl+5pl8n05WfRfRq3LFu72znO+E+2+BdRzj7JnchHzGx23naJ/8Vn6L6Paq5S5DufIry3DBuXkYyt4t3aNvcv/5HdaWMn8FjRbV2El2kY184urnd/xb/Iran4i7+lYSzT/RX2iG/EaVLc/R9/H9UX7vuMlT+rDvajHozKxEXG2L/EdNJ45cYmfaMW1YP5iW/Jd/J051AtRPYfK744PnXrXAOpnUKnRg/waNPeidgqNq6j+Fkyc1pO5+uHkd6NVGMH3hQ4mvxmtc5HkO48nrj2T/Z1QrYhl7wsG9ROJvGd+Cnf6pmK3dPrOoRm/hr5lqGz6inphBvdWbiFe5xiQR75ZPvcL0NaOcvd4Ke8ZXO68u4K+16vJX0CrHJW1tRJk/rqbqEd4isokNG+jcd5XVO+gUdKC/oR36Pf2F60wVMudeHWgqDUOZq5eTzRRCenH/dmo9gzFK2Hc7xVOPR81vwi8N456USS2iiLvj0rr8dwZg9phVNbNwOJZ7FVj+Y5s1FbHMfdePPHeJGf/UvqerCQek0Y9Ho0daAZu5v3TM7lzfCu/gyuPuIuLPTGOzxfwjqN72WcU44ffsTeohH0P0BhZivmoTqngruW4p5K9t6ro+xv1NtXciah2/m5oHkKr+WP6zz123lHrU+lv7Caa41Cd/xz55l6i/i4alq+oDPWjfrAF8Q/+onY6kHyNYPJ9erLvGer1QqnHhYnWTxHEgwdzv94Q+pdFci9oPHuDZhL/NovYFcO+n1GpG0s9BNW+8ew/toC9ryQ5+5Ppq0bLcxn7bqxkT3Uq8/3SeFcJWi+nE/deQ3+NTPZloTV4C/NjdjF/N484LZ+5Oi7uflVEvkkx+b6o7vqOvfdPEa8u4fumlBJPr+BOAuoTq9jjVU2so7HIsWON2ZKPryVaNdxE0wf1GWitRe2n+qKa4CnaiagHeBGXqtQX+bJH82OudQB6BtL3bg/RKAij3w4XlUYR2BbtU8OorxnPnU0xxF8n4oAV9F1Jpf5bOnsPb+L+kUzyd7Po+9fxBRfz8Whl4//+Q8BcLur7nPjpMfqts+StEvLupdwLR20T2vXO03e7nL4naHStoN75Ovf6V7M35D79B2rOkb6SWmi4ifr82qJ2o55ovv0SfugpqlfRXu6FX6H6p69orfZjzwZU73dg/2J/+psFiEoEakvQPIV6xfvU3w4mf6Q3TgvBvmHoHc78CbQaRXCvHVonB7OvTST5X9D2iaLuNYH8e9O4p8ay9z1Uw9G47uRfW0B+fTL5tEXs370UY1bR55HOvttodMnCe2j/g8r+fFzrYt5G5QkaC4uJ76F96xjfu6KU/GbHc6hOusL936/S71XB3jdRtRwr/2DPwip+h/eryU9zmyv77IaiMdaLOB3tB77kvVoSd24tqs386Yt33IPqXdQ+CRbNf3syN6QXffNDiOeF4n/DRH1MOLE1DqMjRatbFHtXoe0dzd6cGOZ+QGtYLPv/RatNPPGGRNzn2CSFPb+l8s6V6XzfOTT7Z7B3fRb9FY5P85lb4GL/NtS+d/zyCHt+LqK/cTFxNNorUDt5hjuzS+lbUcG+XFSv36FvayVzZjV9B9AucfzabZ7ky1AfVlc0VU/R2uPo9wr1qX7Edf1FuwitOQHEP6PhMVxUT49k/1tR5DVUPpssan4z2JsfgwviqDeOp39qMn1d06knoHIfteGZvDc3C5Ut5PNzeddVNPbuZu6TfOp7XMSdCti7/yj9d4qJB53GghK+62Ep/R2r0ULzAaojlPkyb7mJZssG6GqIbl6i+i4a6U2Il6vYw498SqCovP0B+1oFEQf2JX49RNTDwkS7S4SobUNj6GAsiGKvexz3d84lXrIAS5OZv4fWnpXsKU+n330NdxttoL5rI/Uvsti/xUXfL8Xk+5awz3TsWEpf9K/EHlXsK0OjezX5ZrUWiH+hVuYmGodrE990p655itZJVDp5ifovvuQf+tFf1I75dwKIu6MZjfbkHsRfRohq98Hk41B5LRK/jGLeazz992KJ78bR/y/qPvHsufWxcy+Z+s+otE+hr/Yy3tV5Df2vbmHv4Fzqo13Ey/dQtw6QTzvEnrtFxC8Ws38aKh4n2LuolN+h8S/Ua/xKfWw5cy1vkp+J2rjb1BOqmBtfTf4ftHr8Tdz/KbFVwxCPvyBqv6GZVheDXiQf/xL2b0h/YmNRj3hVVJv4iHYztKLRjGotKgVoxLbBu6jmtmNveAf6FqK+HO1V7xKnf8De3O706b2Yj/iQvgZ9uZePyoR+5CcPZM4tlP4DYdQfDSM/dzjxqRG8o+1I5mqM4+6CCbx3DephU3A9ak+mcfejGObaxJG3PmXvsNnkO8wl/3ABd79diPVTMHgR7kdl9me8t2wJcwVLyQensu8/aB5IIw5cR3+fr4hvoLliI3FuBvUBmez5MofvKkTtyE76W+VhIire+dQXf8P8ogNOfJj5jKPO36uI9688Tv7SCeZDTnN//w/Uw0rp33WBfU/QeuNX+oZdIt5WxjumltO34zp3vW/TtxP1/Eryzavpn3Pf+ff3iL69qNytuVD2fFRXtAa9JJqfNBTtRLS+d+zoiXFNReWF5s68D/1TUc1Fq56faGx9k72ebTHnHeZnd8AiNHL9sW4Q+Wi0orox17m7qHkEYxwqiT25++OH9D9D9ZUQ5/4A3ncmjHhyBP48nL0zR4r6hdHsCxxLf/Q44tcnsXfYFPoyZnG/biw2iqOe9Qn1FnOJzUTe0TYZCxfRv30J+61U+o6t5R0n1jE/JoP+q6j0yiEfjcYNx1a5uMRx3U76V7uI7+1n/+5vmP9PIXs3FRN3Okn8Gdo70DK+5z32WdRLsWU5+3vfxYRK5lei+edj53d7Qtz6KfUjz8hfrZko7+pWR7TeqCsqVagH1BO11u7kQ9Cqfon6noaiWcOTuupF/dCrovqhN307HAf60degDfGQtszv8Bft7ADs0BHf+YD+kWjsDmL/xe7UH6F1qgfuC2bflV7cH9QXy9EaGkY8OIL7u4bwfb2Gs28d6iNHcm8C6v3H0Rcdxf63ppKPi+Z9+2KY7zObvodzuLc8kbySTDwshflJy4hPomKmcu8BqrPS2f8TGulr8cJ65tdvxbHbcUwuFuRz33Sx98UD7PFBs/5h7uYeJf9mMf0foz72BPG+s7zjBtobz3O/wa/saXeJ+s9l1P9B068cO1Zwf/Ft5n5D/UElc0/u847Mh9SfPSIufsx8zBP6FqPWpFaS+D0qq9xEY2tt0TqB5sA6Tl9dUfWuJ+pr3XG2B95uzNyGV+j/y5t9vs3JL/EX7fQA+r8KIt4czN6daOb1ZT4nhHr9UOL3R1LXonDeFPa2noq9o+kfjUa9aeQXxZC/49hrCffMZdSTV+Ehx/6p/B7n0dqSzr2bX/Fuj0ziKVnsc6HZeBv1z3LIv7yD+cJc3n/URd+n39A3q5B8/dPkh6PVuJS82yX6TqJytIx8vQryJWi1uI2xaNS4y30PNN5DdXYl8y40Pqgmn/SIfCHaXWsmy72XaolGgZuoHXInPuIlqufQHPGqaO9HLfg16pe8RavMj/zAVuR3vUv/p0Hcce9BPQ4NI5i8Vz/6Pw8hPtifvjuObcOx3VDqASOIP4jkXSGO4yaJ+stTuOs/k705MczFJFDfPZv41bm8+/ZC9ElmLgfN+6j9sIg4bxl1bSXvP51OfuA65tusZ+/FbOJBufQPdWHGAerBhczPcMwuwmK0+xVj3insfprv8C3hPedLsfRX9pWjvvoScTubd62qYG6n49+op97EebfJ70Dl2V1s/Df1vY/4jtee0tenVorE/Z4XldB6ovGNt2j7+oha3pui/rM/8Z4A5t7ohEO7UL/QA+1+opoXQf9p1GsM5Y7rI9E8MZz6wRHcHT4SN4+lf2wU/RcdMyZTnxTN3IZZeDWGfckJvOezufT1yOQ7UnJ5T2Q+e5LQalRAftJe7n21n7mDB9j3QyHxwiL6A4+Rn3OavUHfk3/xLHt90Ghe4twppb7yFzQreG/WTefdt+l79S57s/8kn1zFni8eMNfNbZHc+9tLNJ56Y9vmojXXV1SLUB/mj0cCRDOnI3HYB/QnBeE6NNVg6kvR3IxWyxDyBmrbUBkygL5dEfQdQqPoI+rHR/LewEjyBtrGRPZVTeG92lT2Tp/B3LE57POYS797OvlcNK6vZX7Xf6h7recdbdBosIH5JlvYH7yd+QO55JU87uW46D+K6vhC8pMs4mnF9Ff8v99xZ9Ip7g45zd6YEvKjS5mzK+kP/Jt9XZ7y3tm1PpP+q26iesNdtIq8yV9Ebb+vqPfxQx2tq2i7WonGhLbUb6IyM4C9f6E+I4j+qGDRjEU7CTUrlHxqBHP9o4kz5lCfMpc4Jpn9z5YxvyKN/YnpvCtrPflOm3DOduZW5LLn+//Sf8jFnpP76fuihPrxC9j8Gn2Zd3lP63v0d/ub/uOP6Xv1KbHp9rncaf6caPxeT9S3u4vW116i9rU3+QI/8v90EtW0IObduxK3Q/t6V2dPMIaOpL4rUlR8Y9lzNp27F9aTn7uBe8mb2Rt2mr7nLlFvUEF+0iP6/nzCPS+3xbKnCpXp7sT7vUTrBCrzvUXtlh/59W+K6p9tiUcEEb88AsvnMpcyH9M2kE/cyv47LvYt3Ef9yl3q7Z+IZkGjJbJ3UlvRPjVP1H9cSDz1R7xSIqo3L4rGg6ui1rHmUtkzqp6oBDQU9XcbiVaun2jkt6UvO4C+/wbR59GTODiCvqvzyJcvJH8jhXzQAfbpZ0Rt4nny7X4hX7OS/X+4LZP5++6iWuopGre8iGd6i8pSP0wKwNnvM9ezp2hNH0I8czT14CnsaZfFnu7byd9CdcNO5ozd9GXvwdh91HceErUOZ8gHnaf/hXvEaY/oe9RguextEShq2R+gTz9RP7OI+uUVork9XbRurKVeuVG0j28R1did5GfvYc/CQ9T/KcP29/GPl1bInqWNRTusCX7RVDQfdxL12C70JfQStVNodA6jvjgcfSJENX2EqNSfyJ6vpuMrM8iPRHtNDDb9hP35K9h/YC39RzfSf3Ir9Q4/c7fWHfLt/6Dv/DP2XKy9UurJL4nK4sai5moqmvtbivbJd3FJsGgN7E28MkTUhwwkHjWUuW7D2OMzgv6UCdypns6dxx/TryzAlz7DP3NEdVY+fcd+J27quUr2XesnGk8HiMr5UPJNhmL3EeQzx4lqn0hRfzRVtLsmEV9YQaxuIrbysfwQhp5i/vB99hmNVoulTUXb1Y944jhRnzqBfEKSqNZfRlywlr7Fe0UtfJ9oPC4kzinGicdEq9WvuP4y86/eYV/H35m78Ix6Hd9U2fvLO6LdLYL4YoxoDZkrmi0M6iPQiEwm/8YqUU9fL2rHs5nrs4P+h7nEIbvYOyifucF72dP0cKr2f8wu0G4=</binary> </binaryDataArray> <binaryDataArray encodedLength="10748"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="37" id="controllerType=0 controllerNumber=1 scan=38" defaultArrayLength="1662"> <cvParam cvRef="MS" accession="MS:1000579" name="MS1 spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.298736572266" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.8637712e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.67576256e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="192.160140991211" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1199.984985351563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.494581666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI Full ms [190.00-1200.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="0.429366141558" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1200.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7204"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9572"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="38" id="controllerType=0 controllerNumber=1 scan=39" defaultArrayLength="1412"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="239.149795532227" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.2527056e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.18091008e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="191.092376708984" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="264.030151367188" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.508763333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [190.00-265.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="4.02041053772" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="190.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="265.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="5304"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8276"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="39" id="controllerType=0 controllerNumber=1 scan=40" defaultArrayLength="1561"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="313.274597167969" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.50243e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.52506752e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="245.000457763672" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="319.233947753906" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.64649" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [245.00-320.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="2"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="3.503915071487" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="245.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="320.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="5592"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="9156"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="40" id="controllerType=0 controllerNumber=1 scan=41" defaultArrayLength="1413"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="359.316436767578" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="4.7916096e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.07197312e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="300.262664794922" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="374.994171142578" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.78426" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [300.00-375.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="3"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="1.755282521248" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="300.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="375.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="5168"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="8368"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="41" id="controllerType=0 controllerNumber=1 scan=42" defaultArrayLength="1201"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="381.29833984375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.3163516e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.88959648e08"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="355.098785400391" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="429.289184570313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="0.921591666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [355.00-430.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="4"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="2.88617515564" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="355.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="430.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="4524"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="7140"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="42" id="controllerType=0 controllerNumber=1 scan=43" defaultArrayLength="2303"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="415.212371826172" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="8.3475495e06" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="6.6578468e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="410.188110351563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="484.251922607422" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.059298333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [410.00-485.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="5"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="7.237504005432" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="410.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="485.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="8220"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="13504"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="43" id="controllerType=0 controllerNumber=1 scan=44" defaultArrayLength="2874"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="502.317199707031" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3.2055735e06" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.7297408e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="465.133026123047" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="539.163208007813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.197548333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [465.00-540.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="6"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="9.728183746338" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="465.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="540.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="9960"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="16736"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="44" id="controllerType=0 controllerNumber=1 scan=45" defaultArrayLength="422"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="579.53515625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.0850692e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.4486252e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="520.334594726563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="591.496459960938" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.336433333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [520.00-595.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="7"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="6.52108335495" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="520.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="595.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1760"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="2604"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="45" id="controllerType=0 controllerNumber=1 scan=46" defaultArrayLength="1648"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="607.566467285156" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.2440054e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="7.1460016e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="575.202392578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="649.474487304688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.474796666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [575.00-650.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="8"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="6.264550209045" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="575.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="650.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="5804"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJw103f8z+X+x/HLiJDKzuwKicwQJUdvq+8pjowoFJeRFSLrGOVNyC4rGZ2uVMrIHhnlInslMsp62/McXzIy4ne7eTx/f91vz9e43tf7/f1+jDHxf24Oiowxdi3G+5Qz3rpv1AjtO+j+kEVvYyrG5e6QG6Ffe5e9dWkG3+9vQTcp7X3NarkB3V55DKMb6ciV0t/X93rgvjZrRs7r+iD7nTMx1wuTVRhtl3/KtJkxN4anMKmOtrlsj36c+p9jvF17BzV3Ft1lzf+ehf5FTP6WxR+i/6LsjmEkmmsPc68x2aiXzk5+Du2bGHdGNwzNBLlc/RsY0uQgH0P7J5p0OfFxDGWUU9CNkzdzs//cY/Tfyqvvgq67/BDjmeiD3I3moPpXVP9be0Xzcd6z6Bqgb4PhR4z+WYC52ejzPs65XdFPe1x9DH2eYO8jdN9jfFxeUT1rYc4pjrYqhsboWmE8Gv16ze3H5NWi5IUYnS1GvcJTzO8pzjlvlECP0Z+YPPI09V1ojsgnSvLcKuiXYmhSir2BGP2A5svSzM0rQ79eOe7V6hnOfw/taIxmormlfp7y7NdG1xLj6XI1RrfVf7ECzkG7EkOLijx/Fpp2lclT0E95jlz5efqNMGmN/n3Vp6JdIw9gOKb+PXRZq3A/i0lZ9DVlc4zaKw/W3Gg5E23AsE31B16gngdDNeWmGC1SXq/+gqrc55dq5Okvcq/O1bnvMIzWV9f7KF/BOH0N7pcdk1ZoJ2GYq3xI/YI1OfdpjCspD8LkC7Tb0J9Xv1It7lkb44Hol8ujL3GvT1M4p+fL1OejO4HxHZn7FZ5TVlbDuD4mTrkzhv6qD1P+Ev1xmaYOz8+FrhwmDdB3Vb+v8udodiunKuesy1xttMPQrFE+VY/np7zKc9o14DknMTon0zdkryC6l9C+jvHbGPXAZKbmF6u/VPW12jsnb6mfpRH3qI2m8WvkiY15n3lNeG7G19GiLfwG1kC/QLl1U57XD8NoORP9YfVvyHTNMAea2hi/ieEd1ceg/VL1RcprtX8Bffrm9ItiXBejZm9Sf1suacHe3pac/7jj/aa3ov89JpvlcXTPtybXwegzdAvQBPRbMN6L4YjmsrShb9GUxOhF5QTj1m2Z7yzfbY+zO9A/jK5yR+7TFE1nuRn9MeXbGOXrRK6IcU3lRpiMQrtc9T+Uz2DI8g6WQVtHdkMzFqMjGJ9B92hn6j0wGYFukeppuzP/M4adymekeQ87oxuFZjbaZaqvRX9U9WuaS9OD/sOYPIuhk/wMo0sY5+nJOf0wGqfcpQ/7Y//NXrq+nF8Abfe+up+yl8vlOgy7lA+iz9KPXAlDCrpWsj8mQzFagPGP6m/S3jHVz6G/rXOL9iffxHj2AOqz3setH/AeqeifHch5WWLqJzD+G924QdxnLkab0B9DW3cwex0wGo1uOyb7MJyRd9Qv/CGWxtgMITeWC2WHYZy7fZjOQbP3I/beGM7cHUxyjmD+JUyGYViO8W55Gc1t9bOMZC8HuoIYaqBvLCfItWh2oz2ivfSjqFdBOwZDxtH0C8mO6LcqTxnL3scfkw99Qq4zjvw6JoPRzlQ24zknG5oCyqXRpSg3x2Sq8lzN31B+cAL3zIW2OnqHcS/1i01krxvGvyrX/VTfB+O3J983SvMZ9cKYZJxCvwX6bpiMUJ6G0U9of9H8CfXvoXlsKhZFVxpDPdlc9Y5T9d3QjlF9MkYzlRfrvA3av6J8V3NZp1HPjz7CpCmab9DtRVtqOnPVMPRGd0BW+IL3aoMh5UvqDTFsQHMOfYYZzOdH1115pPIh9Jm+IufG0BJ9jGab+ucxqf01foDRVgxH0S/9huccncl7/etbnI9+BZrW37E/BUORWVgVzRsYdUI/SfXP5QKZoL2p/fSzuW85NPUxaotxfwwz0G7S3G/KOefwfs/J3mg3YPQrhhZz2euN8S5MTqveaR73WCm3YHJont5zITbBaDq6k5ikXcRzK2H8o9yB7ij6e5ortphzqsmPMfEY1sht6C6gz7yE+tvoBqD/ApMDy3ifE2i7Luf8pZic+IH9tCvID2MopFwJ/UtoG6LrqLnJGH+luQOqp1tJvQD6YuielS0wdMNosOanqT5b9bOaf3gVPoG2Poaeqo9FMxX9TNU3YnJZ/S6rqc9EewjDuZ/Ye3QN9xgmi6ylXwltA3TdlScrz0a/QfM71f8dzVlMMqzj3MKYlJL/kL3QjNDcJOUZGP2G9hiG7D+Ti6PrhEk/9JOUA0aJ6n9heHo99V4Yvpdr5HF032zkHnk3MV9/s+6/hXo1jL9X3oTJfgzHVL+r+mNbuUcFWRvDG2gHoJuh+h3NPbmN/bJou2OYhN6rvhndGc3fQPPodu7/DNoXMPRXfajqR3aSR/5C/9wucqFfObcimp2YnMU47W7mC6HrKAdjskx5F5prymn2cP+sGBWQdTHuhslUtN9ofonq21S/pPo91XP/hiXQVVeui76r6oMxjJafomm/l+cv3o9lD7DfH+PP0Vf6ndwdzXL069DukecwSvsHz30EQ36M5qL/Ec0B5fOY5D/Ic2rKPhg+wWQ22iXog+bKHeK8FIzeVc57hL3xxzhnPpqf0G7FJONx+rnR7kfzF0aFT/C86if0/TBaiG4lJhuVHznJOZXR1Me4teq90Q1R/+Bpzht7hvPnncVi5zi3B8bj0M/BsA+jO2gyn+fcgmg7YDJIeRqaZRgOY3wa/XXVzQXmn8S4ivKHmOyU5iLn5UNXEqNqyh3lQEy2Yjj3P+qDL1Hvn8reEgzblVMu42L0O9CdUU57hednx9AZ/QhM5qI9ju6GrP4nc7PR7kPzxFXOKY+ulvK76D9S3oXxM9ep30J37Qb1vn/haUxSbrLXBZN+GE9Qnqm8V/kqukdvYQGMK2D4h2yt+l1Z5Dbvs0EOv8N73bvLOc3usfe++fD+/CY0cZr7+q8wbMTosLyuuk3LfEX0VdHWw6iD3KF6nnQ8pwS6bRg+Ts/+5gx4KSNzNR5kvx+6BMOgTDga/WQ0s1VfrHwE7f8w+Qvj7JmpP46hJLrK6GvKhmi6yv6qT9P+Du0VzEIui6YfxgHdr+pfk58+xHPXPcx5OzGseQSvYbLmUXK/bJxTNDvz5WRVjP8pB6k+VflreQFNkRx8z0roaylvkgfQnVf/jur5cnJOLfSvYfgco43ozql+D22LXOwVzEP/AIauj9HfhCZzXs79NybjlWcr70d3FUPhfDy3Cib1MLRUnoh+Bto/0J2S9zAulJ/5V+QUND+h24xRquqmALkC+lcwNFX9A0y+kdtVT9V8hoLMHynEeRMtzzmM8XWZ6wn2UtD2RD8IQ4nC5AloP5dHMVxUzliEczqhH15E3wddUP8X1Y+gvY4mS1HmSqKvgqahck/loWjnYvKT+tdUv1mMe1V8ijwao/zF8Tr6f5Wg3x1Df/QjMVqK7jaaEk/zvV5A0wSTbug+xmgG2vnqr5SJ5jKU5JwaaLopT0e7UvWNyr9h0qgU+/1K6TtgdA9tntJ4sgzvkamsfkcY7StHPVVmeIZzaz6j34lyX3kSo4zlyWXQ1ET7Vnl9J+WRFcgTKzJ3tRL1TJXZr4bOPUc9FZNCzzM/Ft1cTFbI7WhPy0ercN8CmFRGUwvjRrKN+r2VNypfQVf7BfwE42lV6S+oxntUe5H8LZoGEe5Cex6jxtW5Tw9MFmJ0GP1/1c9Yg73C6Kth/AEmo9Tfh+F/6HLVpF5GNsV4MvqCtfBLdHPkvJe47250VzDMT8Gn/8k9F2Nc52VsgmEgRjvQHZdX5UOvcO/XMeqIZqHcrvpBDBfRZqzDXj60xdFVQd8K4+6qD8cwSXm+8lbtX5IP1NW5aMuheRXj99T/VvUlylvkZe0tqae/y6vcp3x9+qnon2rAe1VHtwjDDjSH0Z+T19VP21D/vxjPQfOD6utVv45J7kbkCjLC0Ej5Y7S70J1Svcxr+CJGc5VXoB/VmPq816lnaopN0bbDaITq8+QWDHuUb6B5uBnnNsLkuTe5z7UWzGVuyXm/OyzcCl9Auwdds9bsb0Obuw3nR22pJ+14fof2mKODfgcY5ehIro12DEbfddTfCZMN6A+pfwNN9k7Uq2D8CtqGym/JnqrPwmS36mne4V5PYtQXk59VP4EmpTP5LXTfYZKpC3uru+g9unKfI+hKvMve5O7MLcJkHbqDstp77DeQzdCPw+CVL2DybA/qtWRP9LEcp/oXaM6rXrcn57/dU79LNNl6Uf9vb+qj+nDf7P/mea3Qz+nLd9yA0Un0WfvhYxg9ia48xk3Qvqv+GOXPNDcLk1M654r20vVnPi/6qsr/Uu6OboDyZLRbNLenv/6OMhWTnAPYq4BJJzQfoF+G8WHN5XkfRw9k7ivZMqbeEeOUQZz3PsafoFuN9hSG9IN5TkGMa8j2aNZguK65LB+S28o+ciTaL2RAdwjj86rnG0IuiqGycls0PZSHYPIT2kxDeb5FN/Yj8iUM7Yez13oEDsDkUzTfKh+XFzFkG0m2GJdGVxujdnIVhg2y1Cj2aqF7GU0X5Rjj8Wg9+lVyk+bO65ySo9l/De1/MNo3hn6ucdgH/VDllRiOyAtonxpPvw76tuP1f6+8V6ZqzkygnxV9WYynoFui/g40CUap8u7/701k72V0zdBMxOTribovRlc/1d9/Mrn8Z/jyFOaHTdF3xOgQ+jPK15SzTmX+MfQ1MWquei90n6BZpvpaDAc1n3aafufoW6NdqPoadL9jOI3mmvplppMboO+BbirGczCc0lz6L/T/6ZkLaNt8ifvRnEPXZgb1ARhPRr8eo+Nosn3F3DvoZ3+l98Zkg+q/KR/FyHxNLoSmE8ZLMOT8lv58eRbjNd/p/+M77c3ivOEYPJqd6C+q/sBs9iy68hhXVf11jIaqPll5ifI29HnmYGU5RE7EZCGG1Wi2YpygzTiX+SdlPdkN7SqMF87jvLzzyZ9h6L6Aeb9A82hKL+S9nseohXJPDHvkQ4s49ymMnl2k90FXQ/1RGF9TfmQxc/llP0xGoj2jesoS7INuJJrvl+h3oLxdectSPLGM+oTlnFfnB+rn0O9ZwX3/K9Ou1Htj8hb6vnI8xnvRnlbOs4rvUB59U0wGqr4UzS6Mzmnursy3mno9DO/KT9DOw+TXteRUdIPWsbcNk4MY5/yZukPbE+NhmKxAt1+mygzruWc9dC0x7q28VP0uW3AoJgvQHsD4jPpXlXNv5T5L0R/DcA1dwW3kdpj0xXjBNv2/ozugfE39h7dzblP0/dHNQvMjxjd30v/hV86/sJvn3ZG59jBXCaNamMTKXvkW+ly/MV8fjcNogXKx/fTb/c53WY1ut3KePzinPMbvY3IZXc6D5HSHmCuNSTvlzWjvHaFe6RhOxmi/HHIc12KS5QQ5P4a26DOfpF4RwwcY/4Jm8Fn23zvPXKcL+h2hMxeZz4ZJRfTDMNqn/s+XyANTmXvmMvX/XNbv7ArPK/UnuSuajFe5V140VZWHoJ2ofEQWv8a9Ioy2XKf+0V+cW+cmzsSQ7xY5xrANXZvbPG84xlnv0C+Ltjr6V9H0wHi0+lPVP6V62b+5TwomBdIMuT83JO0Qvmu6+8ZjMdxDWzn9fc2rGC9Be/6B+/qGD7L/fGb22qHNlIW9yhgGKX8nb6n+j4eYb4LRKnTZHqGfO9t9k3k56G9Buxedzck9RqJdh8mFvJg1H/euj745mib56W/CuFgB+uPkJrSnMLQqzF7RIszPxui6coei7F1A+05x5heVxH0Y3iiFXdGtqMA5hzD56AX619H2rcr5d2pS31ZnSPR/n+Ivkg==</binary> </binaryDataArray> <binaryDataArray encodedLength="9716"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="46" id="controllerType=0 controllerNumber=1 scan=47" defaultArrayLength="1739"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="683.54345703125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="5.609185e06" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4.4388248e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="630.260620117188" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="701.466552734375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.613373333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [630.00-705.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="9"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="9.037128448486" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="630.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="705.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6044"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJw103f8juX7x/HTyohQRqRcVkaKkF1OO5SRKHyqi0jhi0iy6rQyIrMI5SIZKXtk5HMq2eVnZec0EqIvEdm/38Pr/fvr+Xgfx3Ee13lf930bY3zuJYOtMSYUl6MwyrH0rkk/NKfQ119Gvzf6gRi2q35yxV1dw+/uGq/B5IwcvOqu9jxG6VczXxLtIDS/ov9D5l3DvqfQtZID0a7A5H8wOov+jvrd1zI/TS6QR9bxvD8xlF/Puclod2FyAqMiPzBXBuOBaLbLgxjl+ZEcoW+Cth2GXpis1dx+5QvoGm9gf4ymN/qZmCyVzTcz1wXdctloi+oYPpRL0J7G5DL6PFs51xvtcDRzMFqh+nq5W/2Tymm3se8JNG+i74tuMcbbMDqsuStos29nvhUmneQANE13cm4VJtdlpl3sfxjDJozOo72GJvdu9ldCUwejNhgGykRzN9TPs4c9zdDF6Avsp18BXQf0uQ8wXw/NG8oO/XzV12OyS/08B+kXQVMO3QAMn2J8UaY/zNwTGG3BpNQR+rd/Ixc9yp4Sx7AS2snol2LYL4+rfxNNhePkV9AMwmQihvXK5zSX7QTmx6Slcgd570n2PIWum/IHGFLlDoye/F3zf3DfHmgGn+Zz9jzLczr/yf4f0Z1Fk+Yc9fsxfgqTF9B/KH/C8Cu6S38xX/e/2FduQNvmAnMfYHJM+cmL3Ls5ulGYfKF637/xGIbHLjFXVXbH8LVMRXMRfcbLzOXDpDpGQ1WfiPFRNKX+4b410b9yhbkt6M/L8Vep/4N2xL/s/QFtumvkR+RzmLRXfg+dU302+pUYflA+izb9dfKDaMvLgei2ozksz6h/BUO5G9Rro28vh8sDGE5p7opy9pvctyyamhiaoHsHk4+Up6q/VvXdGJ9Sv+wtcn2Mtt9m7xgz5O59H05zV18J7WR0p2XltHdNhmI0F21AUzjdXUN1dJ0xHqM8T67AZI/6Jr32Y9xEuR9Gy9GvzshzmmciT8KoXmbshGYM2tmYLFF9J8a30JXJQq4qm2HogFF/NJ/JxeqvQ7tN+S/015Uz3cv5YrIi+g/QTJJzML6BNmNW7psL45fQTcSwBqOc2ZkvinHTHPSHo82bk7kn0fbExCnPy6nvQfUa95MHYnRVeU8u7v1qXp6T6UGeM15WzMfnGI3JHLTrVT+P/r787CuGSVOMXkE/XvWVGBd4iPO10LfEcKgAFizIXF106yLmchTi3GMY9cT4W0wKFKZfGsNLsi3abhgPQL9O9e3yJCbXMbqnCPuKyrKyPsavYpSg26r+FfWPFyVHxXEJ2k4leH7xkviWnIFuDSaXVc9WinNF0Dyv3Bl9H4w+xTjzY3pPGCrLPo/p9yYXa26d+nvkfzG+KbOUZr4u+lYYupbW/1/1Rcpn1J9dhvoetE2fZE9LND3lqCf13tXPVQ5LYdQAk/bKM9AvUD6HcYby1J/CqDa67mgdxtPK6/esuVUYDqifswL1rhjex2Q52q3ozmP8wFN6fiU+T350XdHOx+jtytS/Q1OpCnsboPkA3Sg5GyMvj8u/MGSsylzuqvq/oq+j+kW0faqTy9Rg7scauqdlvh3Ge9B0rcm5A+gvYshWi/5zGGWtzTlXh89xtD7nqj1L7ox2DcYVG7CnKcZ90Q1FO131dfIA+r/Vz9qQehFMaqJ9Af041T9XXonhF507K+9vxNyzaLqh+0p5FYb9GKd/jlwEzTDZ8HmeX7AJ56s1w4aYtER/RfmTF+gfQ/s3hrzNyaUxrorRu3IouvmaC/LeF9lbSr6IYTTGR1Vv2oJ7lHmJfWVbUW+LrpfyLIy2og9ozqtevDU+g6aVck8M49EeUj6NPl8b5sphqCXfQDsK/TS5SP29yqcwuY4uSwq5KPqyGFqg/SRFv2fV276q94LxFPQVX+NzDEb3QMxcguZPjNK2xdJoX0STiu7xdtgKo75yCoZl6qd5nfPPYfQVGtOe+9yP7mHlUmg7YDQH46Vo7sgGHai/Jm+/wfnCb3J+HsbX0aW8xbkvMN6E0Ql0N1TP0ol6EUyeQFtV+QUMi9CnKv+lfEdzVTvzvOboXlUeoTxf7kD/D0YZu5Bro+uC0US036i+WnNHlK91pZ+xG7mbbNsd5/Wgf9875AhtdYy7oRmp/Bn6PfKk6o/04vM99C7z36C/hmFob/2eMexX7vEe52ehO4U2bR/25UZXFsOXGC/qS39AP95D/v7sexfdITSb32ffy45+VzT9MPoDbZqBnHsd/QT5NSYbMcoyiPkxGK1E/4dy4cHsH4rJP8qFhnDOYvw1+svK8TCePwCjLcM5fwzDTeX7RjBXAuNOcjCaaRi+1dymEdojs43kHsVkGVkfzcvou6Obi2G1+ifVv4Bx3o+4bxlMqik3x7gL+j7oPld/A4a9aC6oflNzWUbpc2JUXy7G5CzGN9DkH4NWNhiL49AeH6v9csc4fW9ocozXXgxX0T86gX5NdE0xfIVJqswzkbnSGH2AyXdot6qe9hNyyUncvxnaNydj98/Yvx6jJ6ZgYzTPTSVPQb8R3W9or8gc0+iXRDsUo0Wqp6q+E82/mGT4nPp906nXxTAB/W/oDib0/0HXcQZz72I0EeP56PerX24mvoh2hLJHv32mvv8vMR/6YmheQttB/d4YjcU40dwv6t9QPe8sclm0LdB3k6MxTFdeLffLWzp3YjbPazOHvS/P41xntO8pf638k9yH0VE0V9Gn+xofxLiEckU0KaqPlfPQrcRon/JpeVv1nPP5PqvM1/9Rvir/g2EQunlylc7tRv832qzfkB9BU1E2QeswTEY3G5P6C5g7K2+hjxcyvxiTnot0HzSL0T+zWO8Zo48xzEL7u/r/ygxLMBf6x9GloPlW/WPq/4VJ6aXsHYLRQozvX0auhqal8ljl6Wi/RVd5Jf2U79g7CG2VVexvgUkPtLNlqryF5oHVPH/UGs7NxKjOWua6Ysj0PZ/jnlT6safeez15HMbfoPse7Q40lzAxP2Ae9I1+0O8cw2j10/yoPibz0DTawHwvTJahvYNx9p8wYDJjI/2TGMptwtpop6N5cDN7s26hng9dMfm0bKn+YPTTVd+A4Qyaa5rLupX6ExiNlx5tpm36nW/T94lukfI15ce2k2vKZmh6ybXoM/zM8/KgiXfwPr5H/8L/0C+yk709MIzE6DdMrqJ9YJfuh3YTun0YCu0md0bbF8MK1ffKcnvo18foJeV+6EfJPaoX3Ms5Jw/s41yT/fTbYLwJo9IHyLXRp2DogdEsNCtUP62c7iD786MtpVwHTQom6Q9RL4G2gnInDA6TBP06jA9rPt9h9j2KcSXlJhi6KQ9UHiOXoDuEvtgRzg/DUDGwvx66XzA+EbT/GOeGo/kD3UWMMx2nXhh9eYybqN5bbsGQ+wQ+jrYmmqZyCvq5yv9ovuBJvoePMVxGO/IU763uH/QHYBh/Wv/nM+TbaPqfZX4uxs3/pD8Fkw3ykXPsr4rJp+hvYMjyF/UsF9jbGf0YtJNVX3VB7/ki9+uOyUC0P6M5jT7N3+Q66IegW4hxxkvYGt0M9Kmqn8GQ+TLPy3NZ71nZyfEYb0WX9h/O5ULT6yr18K9+59eYryDfR/sHBnMdG2LcHd149MvRbMQk+w2shL4xxm1V74l2MbqN6h9X/7LqBW6SS6Otj6aD/BD9PLlTPnQLq9xh7iLGU83Qu3v6prmrO4fx02nJTTHpheFDtOvQ/6y525rLnY5+ffk6ur4Yj5cz0Pwij2J0TjlLes5XxDiWo1VP0C3AsA39PtXPKhfOgM3u4X4NM9KfgXYn+jSZeP7raJejz5CZ/B76cfILNPPlWoxPYJI9C+fKoWuM5g2M+6q/QPU1qhe+l/ON0XVVnoB+DkZr0OzF+Hf1L2r+FtpcWZkvjL4Mhuqqd5Cz5UWZJxt7S8g893H+CQxNs/P8S/9vDs4Vykn/PxgvQbNd+QxGae/nns3QL8dwDKNcD9Avhb4y2g7yPTRD0U3V/FLlXRgd0vxV1e/JxT0KYCgp6+TSfdClor2sfE9u+gUwTpeXe+XDZIDyaLQH5Wv5qPdGtxajf5XvyAfzc49CGD2LSQs0q9TfrZz1IeYKYNxeOnRjMEyXy1Tfj8llnc9RgH1F0VUsoN83xqswvPUw9agg8+9H+h+hX6Z8WzmlEOfeQZumMLkguucxXoH+IEZpitDPLoth1AhN6yK6D8ZD1f9E+SvNrcJkq/pH5S201Yoy9570GL9djHN9ijP3bAnu1w+TkxhdQdumJPldtGPRJOh+Uf031XOVYr6gfBSTGhi/jr4/uh2aO4Yh92P0K6Fri2YAxgswScXooOqndO666veW5l750NdRbo/J+/JjNMswbMT4iOZLPE7uLEfIw5gMLKvno638JLmb7I+mXjlygsk+dKdUz1qeucLoyyo3QtsJo76YjJMbNL9X/XM6l7MCRhgaKbeqoM+Dfjja5XKn+m9WwqmV8RKGilXIKeh7YbIN7Sn1M1WlX7Sq9skBGGajXYqubDX6jTC8jGYIJmvRbkd/BKO/NZ+7OnselVXQNkT/unJ39T/CsESuweiQ+rWfoV6+hv6XmBiLPTH+SdasST0F7Z9oMtdiTylMrqCrWZvnHcCkWR3OzcXkMvp69al3wyTNs/g8hlcwfqkBe2ei3y3PYZKpIc8rjKGabNBQ/0d0ZzHe1oj+0Ub6Pz+H9dAPwXiR8m7lG3JjY+5dvAl7F2B0HW2mpuThGD/djPfVEm1HOQCTiRjmy83o9mB0UfWsL1AvjqEmRmvRXFI9T3PuXRxDDXTtVH8boxmq79TcKeXLGOd5kfsVQ18OzfMYvaY8QC7U3BYMB5RztdB7bMm52xh3f4m8EP2Sl3l+iVb0a7XS7xHDZPTblTe3Zr5VCqZ9jXoVdP3lwpj3/R2aGW3Zv6Md++L29K++Qf60I/lLjNK9yT0KvcW+LzC6pxN7CmH0PPopaH6VDTrr+8awB03HLpy7gKZeN+ZaYzLlbeZno/+tB3lwTxyDbqnyAYzuqG7fYW8LjLpgeB/dJ2gXqJ+q+hXlzL3oH+xNfdB7eF8f9jZC9y7Gk1SfhX6rPCTT9GXuP+jHoftduWk/+h3RvIt+JNpJqq/up8+L0WVMMvQnP4K+PNqmMkX1jmiGYfgck2XoNqh/XuYcQL0Shg0Y9fmA+67AkMsx3xojh26EPIHxTbQTBvLcmehXYLwL3Xk0bw8if4rROfQPDqbeWnaVkzCag8ku1YPyTbRZh7C/pKyKSUsM3dAdRZ97KOeeRvfQMM71x2gaxnVHMN8SzfuYTFB9oepH5CWMo5E8txaaFOU3MRml/DPGF9C1+4jcRw7D6BN0CSYLlDejOa18Tf0HRnG+HLqGaNtg6IVmjJyuuVS5X/OntGfbx+zNNob5Z8fofz2Wue/kJYxqjaOfgqG/nILmZ3TFx2M9DG3R3Fa90ATqfTAajclc5S1ozUTu+Qj6iuhqK7+l/iS5Q/0/0bb4VL9vtNkn8dyjGE+dTD/nZzy3Btre6MarPngK8yWmUu+JZhDaeZisUX2n6kcxXFd+bBpz1TFuiFF71Qej+UL9BRj2Kl9UP/Pn+r4wmZGw/1dZfQbvpy7G7TDph2YyhmwzyQ9jXEt5JCY7MEr/Jf2a6Jsqf4bRwi91T3kaTZlZ+r4w7iJHYjQX7WF5GcMzX3GuMdqWc8it5mL2eZxvhLa/3I3+GLr0X1MviWYcRhvkbvTRfObrz9c+5RnoF6DZguEwJuc0X+UbbISuE/rBmIxFs/wb/R7UH7+I+TxLyY9i3Eg5RttNeTWaf1XPvYx9b6MdiX67cq7lfE6Pof1K6o+vYq4X2hPobqqebTX3KImh5mr9T9bo/4u+MdqOsjfGc9U/g9EdDAXWcv8aGHVA10t5wlr9jzX30PfUO6XiDvR5f6RfEeOB6P4ri25g7il0nTGejnaf8hkMhX6iXgHDrs3s37WF86e2sq/WNs4Nw2QTmurb6b+KZjbGF9BW+5n5LLuot9hDPRVNlr3kWhitOoC3D+q9HuL8dnRtDlP/CaPDZ9lb7E/m6qFb83/+L77n30g=</binary> </binaryDataArray> <binaryDataArray encodedLength="10240"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="47" id="controllerType=0 controllerNumber=1 scan=48" defaultArrayLength="1374"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="711.574340820313" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.0154179e07" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4.52232e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="685.202392578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="757.257629394531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.752203333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [685.00-760.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="10"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="8.360554695129" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="685.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="760.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="4920"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>eJwt13mcj1X/x/FjKWuWyDpxkmSrhEGkji373WBsgxxZihmhxjITOZrJWvcIWZOT5baUyJI9R8iWOxlFslwIU40UEwn3/H4Pr89fz8f7cz7nc851fef6Y5RS7qPB7xilVLRgyD3d96jaJd4zjEPzbBJ9HdC8iv4P1K2HsT5/BPuWoyr2Ov1n0aW/QX06mg0YctEXSaavGfpuqIeK4zHMlr610rcTTaGR1GeO5j5vj6E+N4V9P6HKk0p9KKr3xUsYCrzJefXEuDflucVRaKehnyP1bdJ/UtbvH8vckmgqoYvFECf2lr7BaCdJ30fi19LXYBy2e4vnSxmPpR1OQVtnAveYhX4xuqMT5H28jVfQ5U1jfw/UwzDMQbdc6ufEB9KxJobuaIejOYzRWVRl3sGmqF+cRHboF6J9YQr7XpsivzeqD9CdkXU9FZujuoah3zT6UtFPRvOB5DWoD6K6LLn0u+yri74dhpckjxIzxBPiJdSzMzgnB22L98n/xvAhRofFx2ZwXqMZ8v1g0DOZm4ImA9UqDAdQV5nFeitUQ2bJ7yX5CLpstMmzWZ87h/0fzkUzj/4ZaHIxNJ3PPdPEGgtkDoY09O+jWYHuW8nnUN2WetMPOa+9OABtOoaPUK3B6AdZb7OQc3ouoj4Cw2JPvfhi9lXGMFXyfUuwOZpO4nzUa2T9hOQsDGopuSX6JMnT0JzGKEfW45bJ97CC+761kvoGtLtWyvtdRc5E9xuaBz6R3/0TeV70S9B9jvoAmlMYVfoU26JNRJ8u9ekYNkj9Nrqua7jPzLX0nUeV9jmWXc95/TAahuYTDJvFv1EV2iDfN+oR4jSp/1d8aCPzBm7CCWh2okrczNyAJmULueZW1luIvVHvwajkNtRiHJrB6Mdsk+9T1legPStmoVPbmf8w6gQ0S8UjGCruYH3ITub/jOp0YH6bXcx78ivqbdCW303/4xg1kNwV7dvofhcL7OHcBmi9eBzdr6hj93KvevuYN0nM3M/+vAc47wNxE9pT6O4/SC6HuimGDpI3ort8UO5ziDmT0aV+I8+PUZPDnL/mCP1FjzLvcYxaoEtHu01yNupHMunvlinvRfIZVOoYc7qimSDuRFX4e/l+McSjyTnOva6eIPf+kflbUR/FUPAk9aYY1E/018AwBlWG1Dej/vYneZ+nuN+D6Kqi7YNmsqx/LWahL3Ga/rZiLwy7Ivm90J07R/2+81gK7T+oClzgPhXEJ0Qjxl+QvydxLYZjkov9zH0qoK2F5mWpj0btMXwj+ax430X6a2LUD/3Gy+Rr6JdkkTv9wpx8v7IvA6Mt6M9gKPCbfF+oJqJehu60eEd8KJu+x1DXRf+85HHiCnQPXGG9G9oXr2LsH9zLY7QC/ZN/cq8N6PNc47xEjFLEgOEImovSF3ed/AWqvehy0OfL4X4xqGqLraW+FL36i/ktUb2EescN5tmb3CMb7fK/WV90i/WtGN1B/eA/zHsO9QCMxkueg24Pqt+kv+Vt5nfF0EdciuYXVDnoi9/BRzHUQxeH+hxGt9Aev8v+g7nsK60m3qufRN0wzz1Nd7QL0W9BnZz3ni4d/QG0nfJRH4R+Hpq94kVZvysWyn/PUA5NTfF5dF1kfTXqqxjlSl/5ApwzpiB9JQqx71306yTfFisXxkYYUjFaIvkoqlzUlYowpzaqFySPkDwew2KMDsn675LzFCVXQNNKci9UGyTflDy7OOd+VoL+7zAUK8l6OuptGLLQd3mQ9/8pqrKlyI1R90M1opT8bmgWol8lfV9iyF+a+iOoDqG+IXlZWfpuYFS4vMxDdRT9dQz/qkAeiHoU2vVoSlakPgb9R5LXo9qLIRPdVckFYphTBkMl1I9LPQHNNHRLpG8t+iMY3UFVqDLrfcV1mv3jH6E/C6O8VchdxbHi7Sry/h/lvIZorWSHUYa4DHUk3kT/QFXmxKCvJiagm4Z6utQ3Yvi1qvzdPUY9FqO91XiOxOrMfQ/ttBqsz0G7Af1xdP+gaVuT8yxGY8V54v/QPVKLXAetQT1c6u+Lh9FdxHB/bbLG0Bl1KqqJaKZLfSXavbL+J/omT1Cf/RS5XB36E5/m3NHoKtWlHodqEJqP0OdiqFGPfd1RrRP3oflecp765KJidVSxGF5A10PycOmbIHq0ob58Z2LhWIxHNbchcyY2on8z+gjdNbHNM5yTjNFzjfFFVPOeZV8FI/fAKLUZ+YXmrPuW1Fe3wR3o6rfl/LXiSdQ5qCq2w/ZoPkffrz31ah3oX44mNo77XkV1shPn/CVu6kzfq11Yn4r6a/SnMORIPSaee9VG115MQ/8pRl9K/Zj050ou0p1zdvdg3nc9Of+2GJNAfRD6xeJuVHcxVOlFXzd0Q1GloV8m7pD6N9J3G2353sypiaY+2laSO4t9pW+yuEbq+zA6g/r+PuT5lr6dqPajqdoPn0fboD/3GYuhzgBsIrZHm4h6I0a7UP0hfZUHsu5eYf7+V/EQ2p2D2XdCvIkmbQj7rqF5LpH+NDRLUG1GnYm+UBL1uui7iK+jW4kmVyw3lHtWQ9X/NfonDmPuBVS3htNXa4S8BzSn0arXmX8T1UNvUK+Dpjnq4VJfidF28ZLUb2AomYxPoh2NUZrUi4+Uv4+R8vc5ir7Go7nHi2L+MZxbBU3tFOyKfhhG70megSoTw0XxOmqbytzpaNelynfxJvWGGFpK7ozRUlQb0O+V/Lv0lRjLPo2uCapx4jS0S6TvK7HMOPpfGE9fIcc9K6DvNwFHiUtQ7UR9Al2zt8kDMRxCE6HSaexvKLZElSCOxGg62u3ojmE4I/kGmrLp9DdDlY5+Edoy79BXEVUdjApP4Z6rMVydIr/7VPJQjE6irzqN+nOoO6AbhdEkNHNRHZX8M/oraAu/y3oM2lQMU8RPxN1ojkiu+B77GmLoOp39meji36deYQb3qYd+JJoLqIrM5P4xGHqgGYDKoffStx7dPqlni0VmcU6GuBz9l+gOSj4uudgHnBMvfjqX806gbT+P82agun8++7uiS0ezRXIm6vOosqS/zwIcimEGqu3i9+I1WS/5IXNriM+j641hvNTniZtk/SKqEgt5/nbo1nnuteNj+bvH0GUxff3x///hoZ4rPrGEelsMo1HvQn9M8g2Mii4l18HQCk1/VBOlvkjyWrQ70J2V/myMyizDZLRzl+NrK6g/vpLz4jAaJM5CtVry12h7rCIPQPs1mhOo63/CvvHofkLT4FP6t6J/eDX1sWLuZ9SXrJU5n7P/ZdTnxKR1PH8KmnzrsSP6FMlz0O2VfB2j5zfI+0c7a6PcbxP3XoruvS30/wfN3xhKbcV6Ymc09bYxryXqnpInS14orka3Rdb/lnqJ7eT6Yiv0nbfL+0a1H12BHexbgGrdTu7zZ+A+NXexLwX9zF1ynuTSX5EbY9RxN/P6YriA9rbUH9rD3CboX0KXhNFGyYdRRagf3kv/5n2sN9qPF/bLvQ7QX+wg9XgMrxzi/JhvWG+Mpi3q7pIHiuMxXJb1uofZ/+a31FsfIV9CN/Q76mfQ1T7Kc/RCm4ymayY5CcNm9L+izn9MfjfRiH0wShSnoF8l+bzkbNSbf+A5Hz/OetYJzo9+pO8WRvakfI8YuvzEvn4YvSZ5vuTVaP9AV+wU+6qjbozqXxj1QzMD/RrJj56mv5G45ixzUyKcco7+Oxi9cp59h9EmXJDfFfUoyRloP5b8A/o8PzOnOLqnUbVB00Pq/aXvLfQLUF+V/lIX5Tkvc06tLPZ3+YW8CtUe8Tq6Gr8x72VxMpq5GM5LTsgmJ6PPyZbv/3fq3f7kfqvQ78EQc52+bhgGoRqJZhHaz9H9V/pOSt8t6Sucw3pfDLF/cd6Bv+V7vEV/FtpS/5DrYtQTg75N/zMYRqLOQL9F1s+hvY6m+B3mPImmNdp4cSDq/ZLvon/2LvWFeSbdq2di9HHee5pn893TjcbwMeog9SNormJUMT99tdB1RNMLfSKqBeIh1JH017gPW6AqX5B9h9GuLMS8kYVZ/w9G3YqwPg6jU5J/RXVD6oWLMl9j1AatRTUTzcfSt7WonI/hEuqCD5Aro34KzbzizPuuBPmLkpzz9IPMa41mNYb/oa5eivPbo+0jzkazEt1e9Oelfg11ydKsV0cTh3aQ5JEYzZP6WslBzJa+XJlT7SHmNsCoPfoEDFPL0j8f1TbU/y7H+nK0WeXkuctTn4R2PUaX0PwYw5xNj5JtVc6L0HxXHTNqsP8H9IVqMqc82roYuqDbUYu5V9DcV5v6INSXxZi69DUUE9CXqkeugqEvRlukflUsUp+5MahiMUqSPFXybrRXxDKx7BvTgHv0bkQ97zOc59CsQ52FUYHG3O8JtH3RNG1C7ohmEKoxUg9Svyz+D32JZ7lHT7RD0E/H6E/JlZpyrxfFdeh6N+N+y5vJXFSVm5MboG3RghyPNlmcjsqjPyEWbMn8smJf9MNROYxWYrgp9TKtOKca+lWt2V+hLfbCsEg8hKpEO56jHIaE9sx5Dd27aD9DfV7W83Vg/WHxKQzt0A5EPQqjiZLXSf8RNLM7sb4RQ4XO9NXvwv2SMaxBdxqjwvHUG6CKQ50keTxGe9BW70n/PnRXUF1LYF9GL+qb0F5EfwujUr2pNxXjxFSMJonb0SjLvNaom/TH0eIs8Uu036L7vb/8PYllB3Dvp1F1l+zE3VIv+CpzOgzmHlfQFBxCfkrsiHZQIvktNCvQb0J1AO2jSdguSf6OMByU/Iusxw+T7/gN5nREsxrDV+IR1Dmy/kQyuROG/uJoNBvQqpHcq4b4Swr3n5VKf/M3ObfIWO41GPUNNPPfxlZpmIR2HkZfoPpZfDCd/cNRfY/hLhr9DvVxGGInc36TaezriGah+CWqbHQF3mVfWXEUulOo8r9HvdlM6nHoS8wi52A0dAH14qsmmf8DnSTIoQ==</binary> </binaryDataArray> <binaryDataArray encodedLength="8120"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="48" id="controllerType=0 controllerNumber=1 scan=49" defaultArrayLength="1345"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="768.577941894531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.80540475e06" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="1.4423337e07"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="740.095581054688" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="811.648986816406" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="1.89114" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [740.00-815.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="11"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="20.855762481689" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="740.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="815.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="4844"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="7988"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="49" id="controllerType=0 controllerNumber=1 scan=50" defaultArrayLength="1957"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="858.482727050781" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1.76728640625e05" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="5.525577e06"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="795.149841308594" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="867.7138671875" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="2.031936666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [795.00-870.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="12"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="32.633693695068" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="795.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="870.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="6848"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="11508"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="50" id="controllerType=0 controllerNumber=1 scan=51" defaultArrayLength="2153"> <cvParam cvRef="MS" accession="MS:1000582" name="SIM spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="1"/> <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/> <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="858.483032226563" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2.50764296875e05" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="3.93263075e06"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="850.228759765625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="921.5859375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <scanList count="1"> <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/> <scan> <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="2.174901666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + p NSI SIM ms [850.00-925.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="13"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="38.253116607666" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="850.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="925.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="7432"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="12564"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000574" name="zlib compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>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