Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractA role for the Gal11 protein in pheromone-induced transcription in Saccharomyces cerevisiae    Next AbstractSex-Pairing Pheromones in Three Sympatric Neotropical Termite Species (Termitidae: Syntermitinae) »

J Appl Microbiol


Title:Volatile compound profiling for the identification of Gram-negative bacteria by ion-molecule reaction-mass spectrometry
Author(s):Dolch ME; Hornuss C; Klocke C; Praun S; Villinger J; Denzer W; Schelling G; Schubert S;
Address:"Department of Anesthesiology, University Hospital Grosshadern, Ludwig-Maximilians-University of Munich, Munich, Germany. michael.dolch@med.uni-muenchen.de"
Journal Title:J Appl Microbiol
Year:2012
Volume:20120821
Issue:5
Page Number:1097 - 1105
DOI: 10.1111/j.1365-2672.2012.05414.x
ISSN/ISBN:1365-2672 (Electronic) 1364-5072 (Linking)
Abstract:"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 (VCs) emitted by micro-organisms has recently been shown to allow species differentiation. Thus, a large number of pathogenic Gram-negative bacteria, which comprised Acinetobacter baumannii, Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Pseudomonas aeruginosa, Proteus vulgaris and Serratia 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 degrees 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"
Keywords:Bacteriological Techniques/methods Gram-Negative Bacteria/*classification/growth & development Mass Spectrometry/*methods Principal Component Analysis Species Specificity Volatile Organic Compounds/*analysis;
Notes:"MedlineDolch, M E Hornuss, C Klocke, C Praun, S Villinger, J Denzer, W Schelling, G Schubert, S eng Research Support, Non-U.S. Gov't England 2012/07/27 J Appl Microbiol. 2012 Nov; 113(5):1097-105. doi: 10.1111/j.1365-2672.2012.05414.x. Epub 2012 Aug 21"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-09-2024