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Volatile compound profiling for the identification of G ram‐negative bacteria by ion‐molecule reaction–mass spectrometry
Author(s) -
Dolch M.E.,
Hornuss C.,
Klocke C.,
Praun S.,
Villinger J.,
Denzer W.,
Schelling G.,
Schubert S.
Publication year - 2012
Publication title -
journal of applied microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 1364-5072
DOI - 10.1111/j.1365-2672.2012.05414.x
Subject(s) - klebsiella oxytoca , enterobacter cloacae , mass spectrometry , bacteria , chromatography , chemistry , serratia marcescens , pseudomonas aeruginosa , enterobacter , acinetobacter baumannii , proteus vulgaris , gram negative bacteria , acinetobacter , microbiology and biotechnology , escherichia coli , enterobacteriaceae , biology , biochemistry , genetics , gene
Aims Fast and reliable methods for the early detection and identification of micro‐organism are of high interest. In addition to established methods, direct mass spectrometry–based analysis of volatile compounds ( VC s) emitted by micro‐organisms has recently been shown to allow species differentiation. Thus, a large number of pathogenic G ram‐negative bacteria, which comprised A cinetobacter baumannii , E nterobacter cloacae , E scherichia coli , K lebsiella oxytoca , P seudomonas aeruginosa , P roteus vulgaris and S erratia marcescens, were subjected to headspace VC composition analysis using direct mass spectrometry in a low sample volume that allows for automation. Methods and Results Ion‐molecule reaction–mass spectrometry ( IMR ‐ MS ) was applied to headspace analysis of the above bacterial samples incubated at 37°C starting with 10 2 CFU ml −1 . Measurements of sample VC composition were performed at 4, 8 and 24 h. Microbial growth was detected in all samples after 8 h. After 24 h, species‐specific mass spectra were obtained allowing differentiation between bacterial species. Conclusions IMR ‐ MS provided rapid growth detection and identification of micro‐organisms using a cumulative end‐point model with a short analysis time of 3 min per sample. Significance and impact of the study Following further validation, the presented method of bacterial sample headspace VC analysis has the potential to be used for bacteria differentiation.