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Issue 10, 2006
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A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis

Timothy Sangster,a  Hilary Major,b  Robert Plumb,c  Amy J. Wilsona  and  Ian D. Wilson*a 
Author affiliations

* Corresponding authors

a Dept. of Drug Metabolism and Pharmacokinetics, AstraZeneca, Mereside, Alderley Park, Macclesfield, UK
E-mail: ian.wilson@astrazeneca.com

b Waters Corporation, Atlas Park, Manchester, UK

c Waters Corporation, 34 Maple Street, Milford, USA

Abstract

Metabonomic/metabolomic studies can involve the analysis of large numbers of samples for the detection of biomarkers and confidence in the analytical data, generated by methods such as GC and HPLC-MS, requires active measures on the part of the analyst. However, quality control for complex multi-component samples such as biofluids, where many of the components of interest in the sample are unknown prior to analysis, poses significant problems. Here the repeat analysis of a pooled sample throughout the run, thereby enabling the analysis to be monitored and controlled using targeted inspection of the data and pattern recognition, is advocated as a pragmatic solution to this problem.

Graphical abstract: A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis

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Publication details

The article was first published on 15 Aug 2006


Article type: Forum
DOI: 10.1039/B604498K
Citation: Analyst, 2006,131, 1075-1078
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    A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis

    T. Sangster, H. Major, R. Plumb, A. J. Wilson and I. D. Wilson, Analyst, 2006, 131, 1075
    DOI: 10.1039/B604498K

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