Literature DB >> 19788251

Development of an information-rich LC-MS/MS database for the analysis of drugs in postmortem specimens.

Hsiu-Chuan Liu1, Ray H Liu, Hsiu-O Ho, Dong-Liang Lin.   

Abstract

With several instrument configurations available from various manufacturers, liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology is currently intensively studied for comprehensive drug screen and confirmation. An LC-MS/MS database, including 780 drug and toxic compounds, has been constructed, featuring information-rich MS/MS spectra derived from a novel fragmentation approach incorporating voltage ramping and broadened mass window for activation. The resulting spectra are rich in high- and low-mass fragment ions, highly effective for matching and proven reproducible over a 6 month test period. Coupled to effective sample preparation protocols, the database-searching process greatly improved the identification of drugs in postmortem specimens by the LC-electrospray ionization (ESI)-MS/MS technology. This method has significantly improved the efficiency of our routine laboratory operation that was based on a two-step [fluorescence polarization immunoassay (FPIA) and gas chromatography/mass spectrometry (GC/MS)] approach in the past.

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Year:  2009        PMID: 19788251     DOI: 10.1021/ac901599d

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


  2 in total

Review 1.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

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

  2 in total

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