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 AbstractElectroantennogram and behavioral responses of Culex quinquefasciatus (Diptera: Culicidae) females to chemicals found in human skin emanations    Next AbstractDetection of mycobacteria by volatile organic compound analysis of invitro cultures using differential ion mobility spectrometry »

J Breath Res


Title:Chronic intestinal Mycobacteria infection: discrimination via VOC analysis in exhaled breath and headspace of feces using differential ion mobility spectrometry
Author(s):Purkhart R; Kohler H; Liebler-Tenorio E; Meyer M; Becher G; Kikowatz A; Reinhold P;
Address:"Institute of Molecular Pathogenesis at the 'Friedrich-Loeffler-Institut' (Federal Research Institute for Animal Health), Jena, Germany"
Journal Title:J Breath Res
Year:2011
Volume:20110421
Issue:2
Page Number:27103 -
DOI: 10.1088/1752-7155/5/2/027103
ISSN/ISBN:1752-7163 (Electronic) 1752-7155 (Linking)
Abstract:"Differential ion mobility spectrometry (DMS) is a method to detect volatile organic compounds (VOC) in the ppt range. This study assessed whether VOC analysis using DMS could discriminate subjects with an experimentally induced chronic intestinal infection caused by Mycobacteria from non-infected controls. The animal model consisted of two groups of goats orally infected with two different doses of Mycobacterium avium subspecies paratuberculosis (MAP) and one group of non-infected healthy controls (each group: n = 6). Using DMS, exhaled breath and headspace of feces were analyzed on-line on an individual basis 9 months after inoculation of MAP. Data analysis included peak detection, cluster analysis, selection of discriminating VOC features (Mann-Whitney U test), and classification using a support-vector-machine. Taking the background of ambient air conditions into account, VOC analysis of exhaled breath as well as of feces revealed significant differences between chronically infected animals and non-infected controls. In both specimens, increasing as well as decreasing VOC features could be attributed to infection. Discrimination between infected and non-infected animals was sharper analyzing exhaled breath compared to headspace of feces. In exhaled breath, at least two VOC features were found to increase in a dose-dependent manner with increasing doses of MAP inoculated. Results of this study provide strong evidence that DMS analysis of exhaled breath has the potential to become a valuable tool for non-invasive assessment of VOC specifically related to certain diseases or infections"
Keywords:"Animals Breath Tests/*methods Chronic Disease Disease Models, Animal *Exhalation Feces *Gas Chromatography-Mass Spectrometry Goats Mycobacterium avium/isolation & purification Paratuberculosis/*metabolism/microbiology Tuberculosis, Gastrointestinal/*metab;"
Notes:"MedlinePurkhart, Roman Kohler, Heike Liebler-Tenorio, Elisabeth Meyer, Michaela Becher, Gunther Kikowatz, Angela Reinhold, Petra eng Comparative Study England 2011/04/23 J Breath Res. 2011 Jun; 5(2):027103. doi: 10.1088/1752-7155/5/2/027103. Epub 2011 Apr 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 22-11-2024