Literature DB >> 16478122

Microbial metabolomics with gas chromatography/mass spectrometry.

Maud M Koek1, Bas Muilwijk, Mariët J van der Werf, Thomas Hankemeier.   

Abstract

An analytical method was set up suitable for the analysis of microbial metabolomes, consisting of an oximation and silylation derivatization reaction and subsequent analysis by gas chromatography coupled to mass spectrometry. Microbial matrixes contain many compounds that potentially interfere with either the derivatization procedure or analysis, such as high concentrations of salts, complex media or buffer components, or extremely high substrate and product concentrations. The developed method was extensively validated using different microorganisms, i.e., Bacillus subtilis, Propionibacterium freudenreichii, and Escherichia coli. Many metabolite classes could be analyzed with the method: alcohols, aldehydes, amino acids, amines, fatty acids, (phospho-) organic acids, sugars, sugar acids, (acyl-) sugar amines, sugar phosphate, purines, pyrimidines, and aromatic compounds. The derivatization reaction proved to be efficient (>50% transferred to derivatized form) and repeatable (relative standard deviations <10%). Linearity for most metabolites was satisfactory with regression coefficients better than 0.996. Quantification limits were 40-500 pg on-column or 0.1-0.7 mmol/g of microbial cells (dry weight). Generally, intrabatch precision (repeatability) and interbatch precision (reproducibility) for the analysis of metabolites in cell extracts was better than 10 and 15%, respectively. Notwithstanding the nontargeted character of the method and complex microbial matrix, analytical performance for most metabolites fit the requirements for target analysis in bioanalysis. The suitability of the method was demonstrated by analysis of E. coli samples harvested at different growth phases.

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Year:  2006        PMID: 16478122     DOI: 10.1021/ac051683+

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  59 in total

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Journal:  Metabolomics       Date:  2011-04-16       Impact factor: 4.290

Review 5.  Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems.

Authors:  Rahul Vijay Kapoore; Seetharaman Vaidyanathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

Review 6.  Sum of the parts: mass spectrometry-based metabolomics.

Authors:  Stephen B Milne; Thomas P Mathews; David S Myers; Pavlina T Ivanova; H Alex Brown
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7.  Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes.

Authors:  Suzan Wopereis; Carina M Rubingh; Marjan J van Erk; Elwin R Verheij; Trinette van Vliet; Nicole H P Cnubben; Age K Smilde; Jan van der Greef; Ben van Ommen; Henk F J Hendriks
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8.  Integrating functional genomics data using maximum likelihood based simultaneous component analysis.

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9.  Microbial production host selection for converting second-generation feedstocks into bioproducts.

Authors:  Karl Rumbold; Hugo J J van Buijsen; Karin M Overkamp; Johan W van Groenestijn; Peter J Punt; Mariët J van der Werf
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10.  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

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