Literature DB >> 18155223

Higher mass loadability in comprehensive two-dimensional gas chromatography-mass spectrometry for improved analytical performance in metabolomics analysis.

Maud M Koek1, Bastiaan Muilwijk, Leo L P van Stee, Thomas Hankemeier.   

Abstract

A major challenge in metabolomics analysis is the accurate quantification of metabolites in the presence of (extremely) high abundant metabolites. Quantification of metabolites at low concentrations can be complicated by co-elution and/or peak distortion when these metabolites elute close to high abundant metabolites. To increase the separation efficiency a comprehensive two-dimensional gas chromatographic-mass spectrometric method (GC x GC-MS) was set up, in which a polar first dimension column and an apolar second dimension column were used to maximize the peak capacity. The feasibility of using wider bore, thicker film columns in the second dimension to improve the mass loadability and inertness of the analytical system was investigated. Several column combinations with varying second dimension column dimensions were compared with a setup with a narrow bore column (0.1mm I.D.) in the second dimension. With a wider bore column (0.32 mm I.D.) in the second dimension the mass loadability was improved 10-fold, and the more inert column surface of the thicker film second dimension column resulted in a more accurate (automated) quantification and improved linearity in the presence of high concentrations of matrix compounds or metabolites. These benefits amply compensated the observed decrease in peak capacity of 40% compared to the narrow bore (0.1mm I.D.) thin film second dimension column. Compared to GC-MS and conventional GC x GC-MS, better performance for quantification of metabolites for typical metabolomics samples was achieved.

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Year:  2007        PMID: 18155223     DOI: 10.1016/j.chroma.2007.11.107

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

1.  DISCO: distance and spectrum correlation optimization alignment for two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

Authors:  Bing Wang; Aiqin Fang; John Heim; Bogdan Bogdanov; Scott Pugh; Mark Libardoni; Xiang Zhang
Journal:  Anal Chem       Date:  2010-06-15       Impact factor: 6.986

2.  Semi-automated non-target processing in GC × GC-MS metabolomics analysis: applicability for biomedical studies.

Authors:  Maud M Koek; Frans M van der Kloet; Robert Kleemann; Teake Kooistra; Elwin R Verheij; Thomas Hankemeier
Journal:  Metabolomics       Date:  2010-07-15       Impact factor: 4.290

3.  Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives.

Authors:  Maud M Koek; Renger H Jellema; Jan van der Greef; Albert C Tas; Thomas Hankemeier
Journal:  Metabolomics       Date:  2010-11-16       Impact factor: 4.290

4.  Rationales and approaches for studying metabolism in eukaryotic microalgae.

Authors:  Daniel Veyel; Alexander Erban; Ines Fehrle; Joachim Kopka; Michael Schroda
Journal:  Metabolites       Date:  2014-04-11

5.  Linking the morphological and metabolomic response of Lactuca sativa L exposed to emerging contaminants using GC × GC-MS and chemometric tools.

Authors:  Carlos Hurtado; Hadi Parastar; Víctor Matamoros; Benjamín Piña; Romà Tauler; Josep M Bayona
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

6.  Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research.

Authors:  Augustin Scalbert; Lorraine Brennan; Oliver Fiehn; Thomas Hankemeier; Bruce S Kristal; Ben van Ommen; Estelle Pujos-Guillot; Elwin Verheij; David Wishart; Suzan Wopereis
Journal:  Metabolomics       Date:  2009-06-12       Impact factor: 4.290

7.  Time-resolved and tissue-specific systems analysis of the pathogenesis of insulin resistance.

Authors:  Robert Kleemann; Marjan van Erk; Lars Verschuren; Anita M van den Hoek; Maud Koek; Peter Y Wielinga; Annie Jie; Linette Pellis; Ivana Bobeldijk-Pastorova; Thomas Kelder; Karin Toet; Suzan Wopereis; Nicole Cnubben; Chris Evelo; Ben van Ommen; Teake Kooistra
Journal:  PLoS One       Date:  2010-01-21       Impact factor: 3.240

  7 in total

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