Literature DB >> 21395529

Recent development in liquid chromatography/mass spectrometry and emerging technologies for metabolite identification.

Yan Liang1, Guangji Wang, Lin Xie, Longsheng Sheng.   

Abstract

Metabolism studies play a pivotal role in drug discovery and development since the active metabolites is critical to toxicological profile, efficacy and designing new drug candidates. From the instrumentation standpoint, liquid chromatography/mass spectrometry (LC/MS) has secured a central analytical technique for metabolite identification with the continuous developments and improvements in LC and MS technologies. Recently, a wide range of experimental strategies and post acquisition data processing and mining modes have emerged driven by the need to identify and characterize metabolites at ever increasing sensitivity and in ever more complex samples. In this article, the classical and practical mass spectrometry-based techniques, such as low resolution MS (quadruple, ion trap, linear ion trap, etc), high resolution MS (time-of-flight, hybrid time-of-flight instruments, Qrbitrap, Fourier transform ion cyclotron resonance MS, etc) and corresponding post acquisition data processing and mining modes (precursor ion filtering, neutral loss filtering, mass defect filter, isotope-pattern-filtering, etc) are described comprehensively. In addition, this review is also devote to discuss several novel MS technologies (ambient ionization techniques, ion mobility MS, imaging MS, LC/MNR/MS, etc) that hold additional promise for the advancement of metabolism studies.
© 2011 Bentham Science Publishers Ltd.

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Year:  2011        PMID: 21395529     DOI: 10.2174/138920011795202910

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  4 in total

1.  RAMSY: ratio analysis of mass spectrometry to improve compound identification.

Authors:  Haiwei Gu; G A Nagana Gowda; Fausto Carnevale Neto; Mark R Opp; Daniel Raftery
Journal:  Anal Chem       Date:  2013-10-29       Impact factor: 6.986

2.  Absorption, distribution, metabolism, and excretion of [14C]-dasotraline in humans.

Authors:  Yu-Luan Chen; Estela Skende; Jing Lin; Yijun Yi; Peter L Wang; Sarah Wills; H Scott Wilkinson; Kenneth S Koblan; Seth C Hopkins
Journal:  Pharmacol Res Perspect       Date:  2016-12-18

3.  SECIMTools: a suite of metabolomics data analysis tools.

Authors:  Alexander S Kirpich; Miguel Ibarra; Oleksandr Moskalenko; Justin M Fear; Joseph Gerken; Xinlei Mi; Ali Ashrafi; Alison M Morse; Lauren M McIntyre
Journal:  BMC Bioinformatics       Date:  2018-04-20       Impact factor: 3.169

4.  Characterization of metabolites of leonurine (SCM-198) in rats after oral administration by liquid chromatography/tandem mass spectrometry and NMR spectrometry.

Authors:  Qing Zhu; Jinlian Zhang; Ping Yang; Bo Tan; Xinhua Liu; Yuanting Zheng; Weimin Cai; Yizhun Zhu
Journal:  ScientificWorldJournal       Date:  2014-02-24
  4 in total

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