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  <indexList count="1">
    <index name="chromatogram">
      <offset idRef="TIC">3914</offset>
      <offset idRef="SRM SIC Q1=72.993 Q3=72.993 sample=49 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">25014</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=49 experiment=1 RT=3.89 ce=-10.00 name=glycine">44476</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=49 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">60786</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=49 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">77133</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=49 experiment=1 RT=3.63 ce=-10.00 name=alanine_">93415</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=49 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">109750</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=49 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">126218</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=49 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">142558</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=49 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">158815</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=49 experiment=1 RT=4.06 ce=-30.00 name=L-serine">175048</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=49 experiment=1 RT=1.73 ce=-15.00 name=creatinine">191125</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=49 experiment=1 RT=3.30 ce=-10.00 name=Proline">207389</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=49 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">223838</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=49 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">240029</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=49 experiment=1 RT=3.05 ce=-10.00 name=valine">256236</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=49 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">272743</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=49 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">289057</offset>
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