Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics

J.W. Allwood, A. Erban, S. Koning, W.B. Dun, A. Luedemann, A. Lommen, L. Kay, R. Löscher, J. Kopka, R. Goodacre

    Research output: Contribution to journalArticleAcademicpeer-review

    97 Citations (Scopus)

    Abstract

    The application of gas chromatography¿mass spectrometry (GC¿MS) to the `global¿ analysis of metabolites in complex samples (i.e. metabolomics) has now become routine. The generation of these data-rich profiles demands new strategies in data mining and standardisation of experimental and reporting aspects across laboratories. As part of the META-PHOR project¿s (METAbolomics for Plants Health and OutReach: http://www.meta-phor.eu/) priorities towards robust technology development, a GC¿MS ring experiment based upon three complex matrices (melon, broccoli and rice) was launched. All sample preparation, data processing, multivariate analyses and comparisons of major metabolite features followed standardised protocols, identical models of GC (Agilent 6890N) and TOF/MS (Leco Pegasus III) were also employed. In addition comprehensive GC×GC¿TOF/MS was compared with 1 dimensional GC¿TOF/MS. Comparisons of the paired data from the various laboratories were made with a single data processing and analysis method providing an unbiased assessment of analytical method variants and inter-laboratory reproducibility. A range of processing and statistical methods were also assessed with a single exemplary dataset revealing near equal performance between them. Further investigations of long-term reproducibility are required, though the future generation of global and valid metabolomics databases offers much promise
    Original languageEnglish
    Pages (from-to)479-496
    JournalMetabolomics
    Volume5
    Issue number4
    DOIs
    Publication statusPublished - 2009

    Keywords

    • minimum reporting standards
    • independent component analysis
    • liquid-chromatography
    • chemical-analysis
    • cucumis-melo
    • transcriptomics
    • toxicogenomics
    • hepatotoxicity
    • identification
    • metabolites

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