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

Sangster, Timothy, Major, Hilary, Plumb, Robert, Wilson, Amy J., Wilson, Ian D.·2006·The Analyst

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.

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Metadata

Authors
Sangster, T., Major, H., Plumb, R., Wilson, A. J., & Wilson, I. D.
Venue
The Analyst
Published
2006
Volume
131
Issue
10
Pages
1075
ISSN
  • 0003-2654 (ISSN-L)
  • 1364-5528
OpenAlex
W2066896487
Cited by
564
References
0
FWCI
4.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis. https://app.cochat.ai/papers/10.1039/b604498k
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Sangster, T., Major, H., Plumb, R., Wilson, A. J., & Wilson, I. D. (2006). A pragmatic and readily implemented quality control strategy for HPLC-MS and GC-MS-based metabonomic analysis. The Analyst. https://doi.org/10.1039/b604498k

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.