Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.
Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.
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通过LC-MS/MS和LC-ION Mobility-MS分析人血清中抗癫痫药的针对性策略。
DOI:
10.1021/acs.analchem.0c03172
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发表时间:
2020-11-03
影响因子:
7.4
通讯作者:
McLean, John A.
中科院分区:
文献类型:
--
作者:
Davis, Don E., Jr.;Sherrod, Stacy D.;Gant-Branum, Randi L.;Colby, Jennifer M.;McLean, John A.
Routine small-molecule analysis is challenging owing to the need for high selectivity and/or low limits of quantification. This work reports a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify 14 antiepileptic drugs (AEDs) in human serum. For the optimized LC-MS/MS method described herein, we applied the guidelines outlined in the Clinical and Laboratory Standards Institute (CLSI) LC-MS C62-A document and the U.S. Food and Drug Administration (FDA) Bioanalytical Method Validation Guidance for Industry to evaluate the quality of the assay. In these studies, AED linearity, analyte recovery, matrix effects, precision, and accuracy were assessed. Using liquid chromatography-drift tube ion mobility-mass spectrometry (LC-DTIM-MS), a qualitative method was also used to increase confidence in AED identification using accurate mass and collision cross section (CCS) measurements. The LC-DTIM-MS method was also used to assess the ability of drift tube CCS measurements to aid in the separation and identification of AED structural isomers and other AEDs. These data show that another dimension of information, namely CCS measurements, provides an orthogonal dimension of structural information needed for AED analysis. Multiplexed AED measurements using LC-MS/MS and LC-DTIM-MS have the potential to enable better optimization of dosing owing to the high precision capabilities available in these types of analytical studies. Taken together, these data also show the ability to increase confidence in small-molecule identification and quantification using these analytical technologies.
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影响因子:
7.4
作者:
Hines KM;Ross DH;Davidson KL;Bush MF;Xu L
通讯作者:
Xu L
影响因子:
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Ekins, Sean
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通讯作者:
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Bjorke, Agnes Balint;Nome, Cecilie Gjessing;Heuser, Kjell
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