Literature DB >> 21806004

Efficient use of retention time for the analysis of 302 drugs in equine plasma by liquid chromatography-MS/MS with scheduled multiple reaction monitoring and instant library searching for doping control.

Ying Liu1, Cornelius E Uboh, Lawrence R Soma, Xiaoqing Li, Fuyu Guan, Youwen You, Jin-Wen Chen.   

Abstract

Multiple drug target analysis (MDTA) used in doping control is more efficient than single drug target analysis (SDTA). The number of drugs with the potential for abuse is so extensive that full coverage is not possible with SDTA. To address this problem, a liquid chromatography tandem mass spectrometric method was developed for simultaneous analysis of 302 drugs using a scheduled multiple reaction monitoring (s-MRM) algorithm. With a known retention time of an analyte, the s-MRM algorithm monitors each MRM transition only around its expected retention time. Analytes were recovered from plasma by liquid-liquid extraction. Information-dependent acquisition (IDA) functionality was used to combine s-MRM with enhanced product ion (EPI) scans within the same chromatographic analysis. An EPI spectrum library was also generated for rapid identification of analytes. Analysis time for the 302 drugs was 7 min. Scheduled MRM improved the quality of the chromatograms, signal response, reproducibility, and enhanced signal-to-noise ratio (S/N), resulting in more data points. Reduction in total cycle time from 2.4 s in conventional MRM (c-MRM) to 1 s in s-MRM allowed completion of the EPI scan at the same time. The speed for screening and identification of multiple drugs in equine plasma for doping control analysis was greatly improved by this method.

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Year:  2011        PMID: 21806004     DOI: 10.1021/ac2016163

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Validation of LC-TOF-MS screening for drugs, metabolites, and collateral compounds in forensic toxicology specimens.

Authors:  Fessessework Guale; Shahriar Shahreza; Jeffrey P Walterscheid; Hsin-Hung Chen; Crystal Arndt; Anna T Kelly; Ashraf Mozayani
Journal:  J Anal Toxicol       Date:  2012-11-01       Impact factor: 3.367

2.  Qualitative confirmation of 9 synthetic cannabinoids and 20 metabolites in human urine using LC-MS/MS and library search.

Authors:  Ariane Wohlfarth; Karl B Scheidweiler; Xiaohong Chen; Hua-fen Liu; Marilyn A Huestis
Journal:  Anal Chem       Date:  2013-03-18       Impact factor: 6.986

3.  An Integrated Strategy for Global Qualitative and Quantitative Profiling of Traditional Chinese Medicine Formulas: Baoyuan Decoction as a Case.

Authors:  Xiaoli Ma; Xiaoyu Guo; Yuelin Song; Lirui Qiao; Wenguang Wang; Mingbo Zhao; Pengfei Tu; Yong Jiang
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

4.  The medication violations in racehorses at Louisiana racetracks from 2016 to 2020.

Authors:  Pamela Waller; Izabela Lomnicka; Cam Lucas; Sara Johnson; Levent Dirikolu
Journal:  Vet Med Sci       Date:  2022-01-06

Review 5.  Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry.

Authors:  Yang Yu; Changliang Yao; De-An Guo
Journal:  Acta Pharm Sin B       Date:  2021-02-26       Impact factor: 11.413

6.  Comparison of the Multiple Reaction Monitoring and Enhanced Product Ion Scan Modes for Confirmation of Stilbenes in Bovine Urine Samples Using LC-MS/MS QTRAP® System.

Authors:  Iwona Matraszek-Zuchowska; Barbara Wozniak; Andrzej Posyniak
Journal:  Chromatographia       Date:  2016-07-05       Impact factor: 2.044

  6 in total

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