Literature DB >> 15618298

Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS.

John M Halket1, Daniel Waterman, Anna M Przyborowska, Raj K P Patel, Paul D Fraser, Peter M Bramley.   

Abstract

An overview is presented of gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS), the two major hyphenated techniques employed in metabolic profiling that complement direct 'fingerprinting' methods such as atmospheric pressure ionization (API) quadrupole time-of-flight MS, API Fourier transform MS, and NMR. In GC/MS, the analytes are normally derivatized prior to analysis in order to reduce their polarity and facilitate chromatographic separation. The electron ionization mass spectra obtained are reproducible and suitable for library matching, mass spectral collections being readily available. In LC/MS, derivatization and library matching are at an early stage of development and mini-reviews are provided. Chemical derivatization can dramatically increase the sensitivity and specificity of LC/MS methods for less polar compounds and provides additional structural information. The potential of derivatization for metabolic profiling in LC/MS is demonstrated by the enhanced analysis of plant extracts, including the potential to measure volatile acids such as formic acid, difficult to achieve by GC/MS. The important role of mass spectral library creation and usage in these techniques is discussed and illustrated by examples.

Entities:  

Mesh:

Year:  2004        PMID: 15618298     DOI: 10.1093/jxb/eri069

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  109 in total

1.  Waterborne manganese exposure alters plasma, brain, and liver metabolites accompanied by changes in stereotypic behaviors.

Authors:  Steve Fordahl; Paula Cooney; Yunping Qiu; Guoxiang Xie; Wei Jia; Keith M Erikson
Journal:  Neurotoxicol Teratol       Date:  2011-10-21       Impact factor: 3.763

2.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

3.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

4.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

5.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

Authors:  Stephen Barnes; H Paul Benton; Krista Casazza; Sara J Cooper; Xiangqin Cui; Xiuxia Du; Jeffrey Engler; Janusz H Kabarowski; Shuzhao Li; Wimal Pathmasiri; Jeevan K Prasain; Matthew B Renfrow; Hemant K Tiwari
Journal:  J Mass Spectrom       Date:  2016-07       Impact factor: 1.982

6.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

Review 7.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

8.  Peptide Shifter: enhancing separation reproducibility using correlated expression profiles.

Authors:  Dmitri Sitnikov; Joanna M Hunter; Clive Hayward; Kevin Eng; Isabelle Migneault; Sylvain Tessier; Gregory J Opiteck; Paul Kearney
Journal:  J Am Soc Mass Spectrom       Date:  2007-06-19       Impact factor: 3.109

9.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.