Mercurial > repos > galaxyp > morpheus
view test-data/test_input.mzML @ 0:553f0336e43e draft
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/morpheus commit 2cfe229337e1cea060d77b49df588237dfbd1ce0-dirty
| author | galaxyp |
|---|---|
| date | Mon, 23 May 2016 09:51:47 -0400 |
| parents | |
| children |
line wrap: on
line source
<?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="11-05-13_YL_1-400th_10-30_rep1" version="1.1.0"> <cvList count="2"> <cv id="MS" fullName="Proteomics Standards Initiative Mass Spectrometry Ontology" version="3.65.0" 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:1000580" name="MSn spectrum" value=""/> </fileContent> <sourceFileList count="1"> <sourceFile id="RAW1" name="11-05-13_YL_1-400th_10-30_rep1.raw" location="file:///"> <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="d2cd84c171e019c364c8a39a1a7b57e2828ef7e9"/> </sourceFile> </sourceFileList> </fileDescription> <referenceableParamGroupList count="1"> <referenceableParamGroup id="CommonInstrumentParams"> <cvParam cvRef="MS" accession="MS:1001742" name="LTQ Orbitrap Velos" value=""/> <cvParam cvRef="MS" accession="MS:1000529" name="instrument serial number" value="SN03001B"/> </referenceableParamGroup> </referenceableParamGroupList> <softwareList count="2"> <software id="Xcalibur" version="2.6.0"> <cvParam cvRef="MS" accession="MS:1000532" name="Xcalibur" value=""/> </software> <software id="pwiz" version="3.0.6618"> <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> </dataProcessing> </dataProcessingList> <run id="_x0031_1-05-13_YL_1-400th_10-30_rep1" defaultInstrumentConfigurationRef="IC1" startTimeStamp="2013-11-07T10:25:50Z" defaultSourceFileRef="RAW1"> <spectrumList count="19" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion"> <spectrum index="0" id="controllerType=0 controllerNumber=1 scan=1970" defaultArrayLength="2349"> <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="323.91064453125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2.1090953125e05" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.024175375e06"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="300.072021484375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1384.212036132813" 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="49.125163333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI Full ms [300.00-1500.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="123.201194763184" 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="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="25056"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="12528"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="1" id="controllerType=0 controllerNumber=1 scan=1971" defaultArrayLength="105"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="143.118286132813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1680.940185546875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="16256.841796875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.741691589355" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="887.155639648438" 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="49.143825" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 505.79@hcd42.00 [100.00-1025.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="2"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="505.78793334960937" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1025.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="505.79" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="505.787933349609" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="13408.1298828125" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1120"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="560"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1972" defaultArrayLength="131"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="129.102493286133" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="3599.34228515625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="22316.80078125"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.107055664063" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="957.541625976563" 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="49.156021666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 508.73@hcd42.00 [100.00-1030.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="3"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="508.7318115234375" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1030.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="508.73" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="508.731811523438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="12912.1611328125" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1400"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="700"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1973" defaultArrayLength="97"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="110.071250915527" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1168.78662109375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="14127.0498046875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="102.054817199707" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="866.534484863281" 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="49.167856666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 483.30@hcd42.00 [100.00-980.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="4"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="483.30087280273437" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="980.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="483.3" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="483.300872802734" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="7359.7138671875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1036"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="520"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>fZayQmGRLUKRsJpCh8VWQlRbJ0IsGZJES1sXQkrpFELqonRCzqEqQgPFXkMcR0dEz78MQvUZ6UJBjxJD6Tu3QkeeH0NpcyhCYsGmQnm0UUJhck1CJpmyQmQQsUPq8RhCOJ10RB64nkIjyjtCXe4xQgVRXEJgqAJCpwkcQiDG1kLc1PRDGeRxQqVYM0JUxzdCy271QhNtEkNPuI9DANcQQ8B0IkJq6a5Cw0QUQvR3UkLDneFCYz5SQnkjkUIN8HRCbJxuQmDyH0KoXzBE5TAnQ69JG0JefghERXM1Q//JRULKxShCa/UxQsrJvUKkmjRCyYqVQrXww0KWwqxC8ipSQmyCCkN8ISxCt+c3Qs1EMUL3wlxCzUxCQ/cJNUJMmG1CSCFmQmloI0IlG0FEnzzoQgT5AEPDhidCQsEsQrVsukL4LiVC3sQtQkM9PkKD8C9EV5dwQyjSpUIM+0tDOkP2Qscdl0I8tE5Dc4n2QlckN0IaPxZCTzndQ8n1MUPaPzlCDN93Qg==</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="4" id="controllerType=0 controllerNumber=1 scan=1974" defaultArrayLength="52"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="513.351867675781" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="366.786407470703" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4492.9951171875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.465637207031" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1231.302856445313" 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="49.179831666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 647.87@hcd42.00 [100.00-1310.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="5"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="647.86865234375" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1310.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="647.87" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="647.86865234375" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="6568.77978515625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="556"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="280"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>WNAMQpF7okJqFnxCAwCBQrLwV0KViwZCBad7QuWcDUPt0TlCv5wmQmHVVkKkgzpCyFyhQ05UGULX+zNCCiouQqA0iUIOLRBCfxsSQoSFFEK7gzdCldswQvu1JUL6rhtCcVUZQuD3I0KpZLdDFh2BQvPloEJH5xtCMpR3Qt6g9UJtfj5DEEewQvh5QkMzqSBDxW6GQpndPUPZPeVC2uUpQgmVBUPe0mJDezHQQqWpW0K0bDlCfhdYQkgYqEKGLiZCeKjyQi0/NkIkBBtD0zEgQg==</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="5" id="controllerType=0 controllerNumber=1 scan=1975" defaultArrayLength="118"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="583.837158203125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2426.738037109375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="18383.826171875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.072151184082" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1393.136596679688" 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="49.191675" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 469.26@hcd42.00 [100.00-1420.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="6"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="469.25909423828125" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1420.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="469.26" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="469.259094238281" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="3"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3640.15185546875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1260"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="632"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1976" defaultArrayLength="56"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="129.102386474609" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="529.516357421875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4159.9833984375"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.769729614258" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1482.935424804688" 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="49.203483333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 741.40@hcd42.00 [100.00-1495.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="7"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="741.40020751953125" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1495.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="741.4" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="741.400207519531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3554.287353515625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="600"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="300"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>SksRQh9OIEJGylZCcJkuQpKpMELDkx1CeootQz6dGkIMYQRE5v86QrxcGkL5FYBCD2l7QqPbN0Il9g1DGh9YQo7HG0IFmEVCLTaBQkL2skIWvyZCsHMaQh+1AUNYNjJCSAItQpHObUIC8jRCkdUXQi+aHUJGRihC5n5gQmjtH0Jb57ZCkPYpQyY77EL0Td9CC45lQ37ZBkNLX3pCuPmtQpJMBEOht8BCzMRDQh0MJkKddDxCFAs2QnzyLUK6aCpCrlYpQrcaWEKdkSBCKcsqQnIQH0LXbCRC3PocQrr8L0I=</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="7" id="controllerType=0 controllerNumber=1 scan=1977" defaultArrayLength="105"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="110.071273803711" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1640.347900390625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="13522.58984375"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="102.009132385254" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="839.257690429688" 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="49.215475" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 459.23@hcd42.00 [100.00-930.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="8"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="459.2298583984375" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="930.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="459.23" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="459.229858398438" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3244.67431640625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1120"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="560"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1978" defaultArrayLength="54"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="740.370910644531" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="571.640380859375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4235.7373046875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.96076965332" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1301.966186523438" 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="49.227248333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 762.40@hcd42.00 [100.00-1535.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="9"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="762.39874267578125" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1535.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="762.4" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="762.398742675781" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3085.187744140625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="576"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="288"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>fIkUQh8GJUL3FSBCIx4xQqGZF0LE+wdCN6AUQuBeAkMarS5CyoyAQpHEFkIv8FRCi2knQmqHgELnAr1C/qk5QhG5EUITLBlCsWRAQp6kX0IFsSBCctpEQnpbl0KbxBVCbrZiQ3AsHEKR9xpC2z4lQjcWJEIU6EJC2x8mQquJP0KCBUhCP/aJQsjstEIW+iVDs8FgQttsZkKSuwJDakPCQmJZZUP7ow1DMTnOQvzoDkQA5y5C+IRHQ3yiPULT7ttC86FvQmRojEITrxpCOE0cQg10g0Jm3zFC</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="9" id="controllerType=0 controllerNumber=1 scan=1979" defaultArrayLength="76"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="129.102447509766" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1069.112060546875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="10194.505859375"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.106994628906" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="743.458801269531" 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="49.239231666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 435.78@hcd42.00 [100.00-885.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="10"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="435.78192138671875" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="885.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1970"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="435.78" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="435.781921386719" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3060.64111328125" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="812"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="408"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>eqrEQjHaDEJmUpZC3siNQr+rOELQzD9CzaIAQi6TG0J71YxDkYIQQpq/70K8d4FCItydQvpJhUOWo4VEf8t+QhwjJkIMfiBCbk4GQxaTFEKMQNVCG4boQoidOEL/VmpCuL5iQhMeSkTATzRCj/KoQjQxIUKpD3NCAA20QjB4IkI1EUxC+xx4QiVIXEIYI8ZCsu4bQlM2B0PrWpxCoC6jQsaigEKp6AtD5MNoQu9I2ELhcB5Dkq+WQpUJkUKobRJDWDnHQmxygUK1eotCXWdxQl6b5UKfiMpDTRtYQ4ZftkLjYTpCASqtQsRR7kKiUkVC8oJoQvmHlELwSWlC+rl7QvlFlEKTrUVD42QCRInCMEO5GxFDUmf8QthcOEKl5E9Den7oQqxuNUIuZExElPmvQw==</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="10" id="controllerType=0 controllerNumber=1 scan=1980" defaultArrayLength="2389"> <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="323.91064453125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2.2165e05" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.014761875e06"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="300.836181640625" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1420.824829101563" 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="49.25283" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI Full ms [300.00-1500.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="122.420722961426" 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="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="25484"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="12744"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1981" defaultArrayLength="72"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="518.312805175781" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="819.749755859375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="8129.48486328125"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.071502685547" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="932.286682128906" 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="49.27137" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 518.31@hcd42.00 [100.00-1050.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="2"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="0" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1050.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1980"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="518.31" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="518.31" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="6326.62744140625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="768"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="384"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>5uVIQgNSEULBt1hClggqQoS2K0JK3DBCGlsZQpEBB0K7KtNDpZobQpIFoUJjYp5CQUZiQm2SLkNNCypCywMnQu9TGUTvNSxD+KRfQs5VZENVd6dCRpM6Q3mrCUKUWv5CgCRZQoc1dkISfydCVHA6Qs12CkSNjm9C3/EdQnCz40LI261C+nH6QkBY4UIJ6SFCZFHiQoLyyEIhdjdCzvUgQgJWgEIr0zJCUsF4QgY9mEIE+ntD4YgcQmTnZUJPRzBCfdQ6Qt0IlUK5WrBD/O9MRGWUUEPUwhZCCD9IQh2gj0LfNWJC+6a3QpfIQUOGJRBDM8qbQlBXPEIvdYdCKstpQ93FP0IkMQlDoUx7QrGJPkJmXTZC7QyRQnYHMUIUayBC</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="12" id="controllerType=0 controllerNumber=1 scan=1982" defaultArrayLength="93"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="129.102493286133" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2061.952880859375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="12197.9111328125"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.107292175293" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="982.767578125" 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="49.283215" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 522.29@hcd42.00 [100.00-1055.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="3"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="0" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1055.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1980"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="522.29" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="522.29" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="6159.98046875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="992"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="496"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>x5+eQjDKlELyqINCTxQmQpGiB0KVeyNC7x6JQ9oBNUKOiQpCEvpdQ2D3FUI0VhtCP98ARc3TtUPglP1CE83XQwiSREL305ZCEJISQkCjNUTIgFNCL4gYQk0bO0LVI5NCX+CDQxs7KUJ5ZSxCw5LwQofUYkL/CJhCXpsrQ0arJEK6YRRCH+ojQkdFLkIaWqBCIBARQjW4lkLMUHBCrop9QtgnCkQ7UQRD6cMYQpbwgUNuwHtC8VFjQuGa10NtzSRCiFUrQgYTlUIcfIhCMDMcQqr4okLBqsVCe0r0Qj9VikIfSGJCxZgNQ0Ucs0Izo4lD+9WJQkO9MEL2VZ1CdmZXQq7XfUJobzJDMiU3Qj0WHEJCQSRCm1x4QsLIo0P1WuRCTBQWQytvM0K4XIdCsTA5Qh8EmEIfnm1CM1q/QipKpUKJnn9CVGo8QxedKkKVeuBC1UpLQjcaj0LbNlND+/bfQi9jn0IFFIpD4SHOQhasJUKR2jxC</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="13" id="controllerType=0 controllerNumber=1 scan=1983" defaultArrayLength="117"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="583.837036132813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2583.086669921875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="20343.7734375"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="102.054527282715" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1310.582763671875" 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="49.295166666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 469.26@hcd42.00 [100.00-1420.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="4"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="469.2589111328125" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1420.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1980"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="469.26" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="469.258911132813" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="3"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="4073.080322265625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1248"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>AAAAYH2DWUAAAABAh4tZQAAAAMAjkFlAAAAAoOyRWUAAAABAWZJZQAAAAODHlFlAAAAAAJCEW0AAAAAglQVcQAAAAGAqBV5AAAAAQGy8X0AAAACgHCJgQAAAACBHI2BAAAAAgMNCYEAAAABAawJhQAAAACCgY2JAAAAAICOjY0AAAAAgNOpjQAAAAACj4mRAAAAAINHjZUAAAAAgAiNnQAAAAGDcomdAAAAAoDckaEAAAADgdWJoQAAAAKBSg2pAAAAAwBcoa0AAAABgReJrQAAAACDpQ2xAAAAAYM5jbEAAAAAAitlsQAAAAIC+/m1AAAAAoCkDbkAAAAAgO0NwQAAAAOA+A3JAAAAAQDArc0AAAACgXX1zQAAAAEAaU3VAAAAAwD9LdkAAAAAgoYJ3QAAAAIBh63dAAAAAgOz4d0AAAAAgL/53QAAAAICJA3hAAAAAgBsUeEAAAADAOSR4QAAAAGD2WHhAAAAAoFZeeEAAAADApWN4QAAAAOBje3hAAAAAwHODeEAAAACgMX95QAAAAGA8n3lAAAAA4LhLekAAAACgFql6QAAAAIDUrXpAAAAA4ESZfEAAAABgUPl8QAAAAOCo/nxAAAAAAGgffUAAAADg2jt9QAAAAOCWPn1AAAAAwMREfUAAAACA1Ep9QAAAAOAhTH1AAAAAYIFTfUAAAACAJlR9QAAAAKBKWX1AAAAAYP5bfUAAAADgpGR9QAAAAMBubX1AAAAAgK+8fkAAAABg0AqAQAAAACDWEoBAAAAAAHu6gEAAAAAAfb6AQAAAAGB9woBAAAAAgFzigEAAAAAgqxOBQAAAAOATaoFAAAAAIKX2gUAAAAAgoPqBQAAAAACj/oFAAAAAIDgigkAAAAAgsj6CQAAAAOC0QoJAAAAAgLZGgkAAAABgy0qCQAAAAMD3ooNAAAAAIFrug0AAAADgR/eDQAAAAADe+oNAAAAA4Nz+g0AAAABAlHKEQAAAAMCceoRAAAAA4MiehEAAAABAh6qEQAAAAGDsvYRAAAAAAJHdhEAAAACgbx2FQAAAACC3NIVAAAAAwCU3hUAAAADAizmFQAAAAOCtQoVAAAAA4JtehUAAAAAA5qCFQAAAAIBv5IVAAAAAgMDqh0AAAACgb3OIQAAAAADY04lAAAAAoObbiUAAAABAtkOKQAAAAMAdY4tAAAAAwF/ri0AAAABAV/OLQAAAAECGBI9AAAAA4HmykkAAAABATSqTQAAAAMBUepRA</binary> </binaryDataArray> <binaryDataArray encodedLength="624"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1984" defaultArrayLength="37"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="175.119232177734" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1080.009155273438" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="12861.662109375"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.926658630371" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="748.132629394531" 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="49.30703" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 435.78@hcd42.00 [100.00-885.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="5"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="113.079818725586" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="435.78192138671875" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="885.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1980"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="435.78" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="435.781921386719" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3880.216796875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="396"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>AAAAYE57WUAAAAAAI4tZQAAAACB2i1lAAAAAQFmNWUAAAAAgrJJZQAAAAACNhFtAAAAAoDEFXkAAAABARiNgQAAAAGAW82NAAAAAoFn6Y0AAAADg0ONlQAAAAKAtqmhAAAAAAK+KckAAAACg8pNyQAAAACDTL3tAAAAAYF00e0AAAACASIt8QAAAAEAshH9AAAAAQHISgEAAAAAAXLCAQAAAAGBT+INAAAAAoNX8g0AAAAAAxJ6EQAAAAOCT3YRAAAAA4Fv7hEAAAAAghh2FQAAAAIAJN4VAAAAAgH05hUAAAADgn16FQAAAAMAndYVAAAAAgMqLhUAAAACg8aCFQAAAAIBi5IVAAAAAQI1uhkAAAADAuzOHQAAAAGC4O4dAAAAAoA9hh0A=</binary> </binaryDataArray> <binaryDataArray encodedLength="200"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>M85EQ2O4QUN6NF1DaGpJQw0kMUP8vMBDKM26Q5s+cERTazZD/Fk2Q0sAh0RfGk1DYg0sQ4kzMUMIvjpDXbycQzEeLkPRejhDTDZQQ84lTUMqil5D4VmDQ9MG7kM6fUNEU2H5Q0CtC0QCtLZD+pdyQ++9d0T8FTNDrHYsQ8oO6EMWhXNDswcsQ4HcRERHF4tDMns3Qw==</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="15" id="controllerType=0 controllerNumber=1 scan=1985" defaultArrayLength="108"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="110.071273803711" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="1757.96337890625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="15671.2626953125"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.070877075195" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="777.714416503906" 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="49.312456666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 459.23@hcd42.00 [100.00-930.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="6"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="0" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="930.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1980"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="459.23" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="459.23" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3103.971435546875" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="1152"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="576"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>Y/LDQrx1DkJTmsxC688cQlT+IULUvttECbpoQlIDmkJDuF9CQzVnQvB2RUJFqzBDjowoQmCUoUQE17ND6Y+iQrno10JWDV9EilNMQhxxeUKZ5aNCWyVRQmJau0NSBsVCCxKJQmR47kIBcihCYYEmQnExI0JHVhxCLT88QojyNULSvhdCJHQgRBnmkEKV2jxC4995QvXlF0Jm3jhDEjB2Qr8QiEJljBlCTiXcQl17hEJC87ZCdQCCQvlWb0JSN/VCjpNnQnYoDEN8CphC6bWCQnh5ekOEeYdCUMsiQle9uEIDOJxCUbHoQuala0NFxCpCRzATQkrSiEJMll1CzBYuQ58+JUNsMjpDgg5FQtUINEOUm3BCVZQyQ83juULBuZhCQrUjQvZFJkMfOFdCQfaaQkxv50I4KTFExp+AQg9+LkIgPbtCaXU3RLpmUkJhq5VCdfdKQziikUJbsuBCJe9sQ22QMEM2QKhCOelJQv2BTELxAQ5DoMqSQgsCJULve2dCi72EQifkd0JL6zdCt5KLQldDkEJjST1DyTAaQ+K6B0OVc15DH5cOQ6HpcEJ6Cx1C</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="16" id="controllerType=0 controllerNumber=1 scan=1986" defaultArrayLength="2477"> <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="323.910827636719" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="2.1836696875e05" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="2.15798025e06"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="300.836700439453" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1360.7177734375" 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="49.326163333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI Full ms [300.00-1500.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="1"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="119.317665100098" 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="1500.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="26424"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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="13212"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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=1987" defaultArrayLength="45"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="740.370788574219" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="718.591735839844" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4467.705078125"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="102.013366699219" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1454.67041015625" 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="49.344591666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 762.40@hcd42.00 [100.00-1535.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="2"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="762.39892578125" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1535.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1986"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="762.4" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="762.39892578125" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3923.972900390625" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="480"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>AAAAANuAWUAAAAAgz49ZQAAAACDiI1xAAAAAoFPcX0AAAABASCNgQAAAAADLY2BAAAAA4Fy9Y0AAAABAqvhjQAAAAEDO42VAAAAA4NhDbEAAAACA1kRuQAAAAGCpZG5AAAAAwC2EbkAAAADAPDdxQAAAAIC5NXZAAAAAoM7zekAAAACg0AN7QAAAAGDZr3xAAAAAoO9NgkAAAADgWO+DQAAAAIB+GoRAAAAAQFeehEAAAABg9rOEQAAAACAp3YRAAAAAABYdhUAAAAAgbTWFQAAAAGBbOoVAAAAAQCxehUAAAACgcKCFQAAAAAApKYZAAAAAQL6ahkAAAAAgvaKGQAAAAGD3IodAAAAAoPwqh0AAAABgyXOMQAAAAEDRe4xAAAAAgPzPjUAAAABgmSSQQAAAAKAhPpBAAAAAoDtCkEAAAAAAuliRQAAAAKAkYJFAAAAAgHwKlEAAAAAgdnCVQAAAAICuupZA</binary> </binaryDataArray> <binaryDataArray encodedLength="240"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>Un0GQhEfpkI7ii5CxlAjQlDWE0P/0o5CmO4oQgbEQEKNidtCPnWXQjHZ4UIxyi9C4MVrQjL4DUKR4zhCbpKZQzjzgEI3fhhClnQnQhYAp0IDCZtCOTikQtbNF0I87SNDwEUTQ7c70ELtmDBCUXZTQ06srkKP/DNCIR8XQzxXPELfpTNEG0+IQyMEWUNNFo5CidZEQv7OJELR5KBCP6BxQvVWJEKTRjFC1hNRQi2uPULCTzBC</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> <spectrum index="18" id="controllerType=0 controllerNumber=1 scan=1988" defaultArrayLength="51"> <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/> <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/> <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="129.102478027344" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="782.794311523438" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="4466.498046875"/> <cvParam cvRef="MS" accession="MS:1000528" name="lowest observed m/z" value="101.918266296387" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000527" name="highest observed m/z" value="1245.83740234375" 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="49.356796666667" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <cvParam cvRef="MS" accession="MS:1000512" name="filter string" value="FTMS + c NSI d Full ms2 741.40@hcd42.00 [100.00-1495.00]"/> <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="3"/> <cvParam cvRef="MS" accession="MS:1000927" name="ion injection time" value="500.0" unitCvRef="UO" unitAccession="UO:0000028" unitName="millisecond"/> <userParam name="[Thermo Trailer Extra]Monoisotopic M/Z:" value="741.40081787109375" type="xsd:float"/> <scanWindowList count="1"> <scanWindow> <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="1495.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </scanWindow> </scanWindowList> </scan> </scanList> <precursorList count="1"> <precursor spectrumRef="controllerType=0 controllerNumber=1 scan=1986"> <isolationWindow> <cvParam cvRef="MS" accession="MS:1000827" name="isolation window target m/z" value="741.4" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000828" name="isolation window lower offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000829" name="isolation window upper offset" value="1.5" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> </isolationWindow> <selectedIonList count="1"> <selectedIon> <cvParam cvRef="MS" accession="MS:1000744" name="selected ion m/z" value="741.400817871094" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <cvParam cvRef="MS" accession="MS:1000041" name="charge state" value="2"/> <cvParam cvRef="MS" accession="MS:1000042" name="peak intensity" value="3608.6240234375" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> </selectedIon> </selectedIonList> <activation> <cvParam cvRef="MS" accession="MS:1000422" name="beam-type collision-induced dissociation" value=""/> <cvParam cvRef="MS" accession="MS:1000045" name="collision energy" value="42.0" unitCvRef="UO" unitAccession="UO:0000266" unitName="electronvolt"/> </activation> </precursor> </precursorList> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="544"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000514" name="m/z array" value="" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/> <binary>AAAA4MR6WUAAAACgZnxZQAAAAAD4kVlAAAAA4PaqXUAAAADALwVeQAAAAIBHI2BAAAAAgL1CYEAAAACAbwJhQAAAAGCdY2JAAAAAoLDtYkAAAADAzuNlQAAAACDyImpAAAAAQHhjakAAAABg0kNsQAAAAEAaS2xAAAAAoMAxcEAAAABgWDNxQAAAAAANQnFAAAAAIKaFcUAAAAAgK+RxQAAAAIDi63FAAAAAoPs+dEAAAAAgoo51QAAAAGBwL3ZAAAAA4HxBdkAAAADgzUZ2QAAAAEDf43hAAAAAoD2CeUAAAACAMUp9QAAAAMB9rYFAAAAAYJfygkAAAADA+PuDQAAAAEAvnoRAAAAA4PzchEAAAADg4hyFQAAAAMALMIVAAAAAYP00hUAAAACgVzeFQAAAAOADOoVAAAAAgAVehUAAAABgU6CFQAAAAGDV44VAAAAAwO8ih0AAAADgqjOHQAAAAOCKNodAAAAAAA6oh0AAAAAgIz6IQAAAAKBcR4pAAAAAwOQDjEAAAACAfMKNQAAAAIBZd5NA</binary> </binaryDataArray> <binaryDataArray encodedLength="272"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000515" name="intensity array" value="" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/> <binary>9sotQivpFEKMujdCXvIZQqoyLkPWskNEXnfAQsAVgUKY3t9Cbc0gQqTha0Pq051C+oFiQqP44kLMcRRCHoxEQnN7vELJQD5C5UUeQnMYDkKvsC1CozAsQuh+GEK8tCBCtSUYQtxbFELYDidCGzhCQlbgIUIBbzZCOJVAQk4woEKlabNCp/giQ1j/BEOTiF1Ckp2NQug6bUK97jlCGINSQ0ZVB0NGXIFC8BC6QtB5MkMAz/pCubgpQmYISEKeaitCtPBFQlnCQULAZyJC</binary> </binaryDataArray> </binaryDataArrayList> </spectrum> </spectrumList> <chromatogramList count="1" defaultDataProcessingRef="pwiz_Reader_Thermo_conversion"> <chromatogram index="0" id="TIC" defaultArrayLength="16260"> <cvParam cvRef="MS" accession="MS:1000235" name="total ion current chromatogram" value=""/> <binaryDataArrayList count="2"> <binaryDataArray encodedLength="173440"> <cvParam cvRef="MS" accession="MS:1000523" name="64-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no compression" value=""/> <cvParam cvRef="MS" accession="MS:1000595" name="time array" value="" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/> <binary>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</binary> </binaryDataArray> <binaryDataArray encodedLength="86720"> <cvParam cvRef="MS" accession="MS:1000521" name="32-bit float" value=""/> <cvParam cvRef="MS" accession="MS:1000576" name="no 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> </chromatogram> </chromatogramList> </run> </mzML> <indexList count="2"> <index name="spectrum"> <offset idRef="controllerType=0 controllerNumber=1 scan=1970">4496</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1971">45505</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1972">52392</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1973">59702</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1974">66466</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1975">72509</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1976">79609</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1977">85720</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1978">92603</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1979">98677</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1980">105107</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1981">146748</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1982">153078</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1983">159740</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1984">166825</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1985">172633</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1986">179547</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1987">222607</offset> <offset idRef="controllerType=0 controllerNumber=1 scan=1988">228533</offset> </index> <index name="chromatogram"> <offset idRef="TIC">234671</offset> </index> </indexList> <indexListOffset>496045</indexListOffset> <fileChecksum>a6884acf9007eaf671b404780356f0bc15a0e33b</fileChecksum> </indexedmzML>