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      <offset idRef="TIC">3914</offset>
      <offset idRef="SRM SIC Q1=72.993 Q3=72.993 sample=39 experiment=1 RT=3.45 ce=-10.00 name=Glyoxylate">24758</offset>
      <offset idRef="SRM SIC Q1=74.025 Q3=74.025 sample=39 experiment=1 RT=3.89 ce=-10.00 name=glycine">43976</offset>
      <offset idRef="SRM SIC Q1=87.009 Q3=87.009 sample=39 experiment=1 RT=2.16 ce=-10.00 name=Pyruvic_acid">60034</offset>
      <offset idRef="SRM SIC Q1=87.045 Q3=86.900 sample=39 experiment=1 RT=1.02 ce=-15.00 name=1-butyric_acid">76149</offset>
      <offset idRef="SRM SIC Q1=88.040 Q3=88.040 sample=39 experiment=1 RT=3.63 ce=-10.00 name=alanine_">92187</offset>
      <offset idRef="SRM SIC Q1=89.024 Q3=89.024 sample=39 experiment=1 RT=2.87 ce=-10.00 name=L-lactic_acid">108266</offset>
      <offset idRef="SRM SIC Q1=102.056 Q3=101.900 sample=39 experiment=1 RT=2.98 ce=-10.00 name=dimethylglycine_(DMG)">124474</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.910 sample=39 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxyisobutyric_acid">140582</offset>
      <offset idRef="SRM SIC Q1=103.040 Q3=56.900 sample=39 experiment=1 RT=2.39 ce=-30.00 name=2-hydroxybutyric_acid">156571</offset>
      <offset idRef="SRM SIC Q1=104.035 Q3=74.000 sample=39 experiment=1 RT=4.06 ce=-30.00 name=L-serine">172564</offset>
      <offset idRef="SRM SIC Q1=112.054 Q3=68.003 sample=39 experiment=1 RT=1.73 ce=-15.00 name=creatinine">188385</offset>
      <offset idRef="SRM SIC Q1=114.056 Q3=114.056 sample=39 experiment=1 RT=3.30 ce=-10.00 name=Proline">204393</offset>
      <offset idRef="SRM SIC Q1=115.004 Q3=70.900 sample=39 experiment=1 RT=4.19 ce=-15.00 name=fumaric_acid">220594</offset>
      <offset idRef="SRM SIC Q1=116.047 Q3=73.900 sample=39 experiment=1 RT=3.70 ce=-15.00 name=guanidinoacetic_acid">236549</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.070 sample=39 experiment=1 RT=3.05 ce=-10.00 name=valine">252500</offset>
      <offset idRef="SRM SIC Q1=116.072 Q3=116.072 sample=39 experiment=1 RT=4.03 ce=-10.00 name=5-Amino_pentanoic_acid">268739</offset>
      <offset idRef="SRM SIC Q1=117.019 Q3=73.100 sample=39 experiment=1 RT=3.96 ce=-30.00 name=Succinic_acid">284793</offset>
      <offset idRef="SRM SIC Q1=117.056 Q3=71.000 sample=39 experiment=1 RT=1.89 ce=-15.00 name=2-hydroxyisovaleric_acid">300597</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=54.900 sample=39 experiment=1 RT=3.82 ce=-30.00 name=Homoserine（离子对正确具有唯一性且稍微比threonine晚出一点点）">316706</offset>
      <offset idRef="SRM SIC Q1=118.051 Q3=74.100 sample=39 experiment=1 RT=3.79 ce=-15.00 name=threonine（离子对正确具有唯一性）">332497</offset>
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