Literature DB >> 18479983

Gas chromatography/mass spectrometry in metabolic profiling of biological fluids.

Kishore K Pasikanti1, P C Ho, E C Y Chan.   

Abstract

One of the objectives of metabonomics is to identify subtle changes in metabolite profiles between biological systems of different physiological or pathological states. Gas chromatography mass spectrometry (GC/MS) is a widely used analytical tool for metabolic profiling in various biofluids, such as urine and blood due to its high sensitivity, peak resolution and reproducibility. The availability of the GC/MS electron impact (EI) spectral library further facilitates the identification of diagnostic biomarkers and aids the subsequent mechanistic elucidation of the biological or pathological variations. With the advent of new comprehensive two dimensional GC (GC x GC) coupled to time-of-flight mass spectrometry (TOFMS), it is possible to detect more than 1200 compounds in a single analytical run. In this review, we discuss the applications of GC/MS in the metabolic profiling of urine and blood, and discuss its advances in methodologies and technologies.

Mesh:

Year:  2008        PMID: 18479983     DOI: 10.1016/j.jchromb.2008.04.033

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  43 in total

1.  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

2.  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

Review 3.  Application of metabonomic analytical techniques in the modernization and toxicology research of traditional Chinese medicine.

Authors:  Yong-Min Lao; Jian-Guo Jiang; Lu Yan
Journal:  Br J Pharmacol       Date:  2009-06-05       Impact factor: 8.739

4.  Optimization of a direct analysis in real time/time-of-flight mass spectrometry method for rapid serum metabolomic fingerprinting.

Authors:  Manshui Zhou; John F McDonald; Facundo M Fernández
Journal:  J Am Soc Mass Spectrom       Date:  2009-09-17       Impact factor: 3.109

5.  Preparation of Drosophila Larval Samples for Gas Chromatography-Mass Spectrometry (GC-MS)-based Metabolomics.

Authors:  Hongde Li; Jason M Tennessen
Journal:  J Vis Exp       Date:  2018-06-06       Impact factor: 1.355

6.  Plasma metabonomics study of the patients with acute anterior uveitis based on ultra-performance liquid chromatography-mass spectrometry.

Authors:  Junguo Guo; Tingqin Yan; Hongsheng Bi; Xiaofeng Xie; Xingrong Wang; Dadong Guo; Haiqiang Jiang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-04-08       Impact factor: 3.117

7.  Bioanalytical applications of surface-enhanced Raman spectroscopy: de novo molecular identification.

Authors:  Anh H Nguyen; Emily A Peters; Zachary D Schultz
Journal:  Rev Anal Chem       Date:  2017-07-05       Impact factor: 3.067

Review 8.  Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.

Authors:  M Ariel Geer Wallace; Tzipporah M Kormos; Joachim D Pleil
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2016-10-19       Impact factor: 6.393

9.  Extraction of pure components from overlapped signals in gas chromatography-mass spectrometry (GC-MS).

Authors:  Vladimir A Likić
Journal:  BioData Min       Date:  2009-10-12       Impact factor: 2.522

10.  Metabolomics and its application for non-invasive embryo assessment in IVF.

Authors:  Lucy Botros; Denny Sakkas; Emre Seli
Journal:  Mol Hum Reprod       Date:  2008-12       Impact factor: 4.025

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