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 AbstractThe effect of staphylococcal enterotoxin B on pheromone production in fat bodies isolated from male boll weevils    Next AbstractA fungal vapor-phase bioreactor for the removal of nitric oxide from waste gas streams »

Biosens Bioelectron


Title:Exhaled breath analysis with electronic nose technology for detection of acute liver failure in rats
Author(s):Wlodzimirow KA; Abu-Hanna A; Schultz MJ; Maas MA; Bos LD; Sterk PJ; Knobel HH; Soers RJ; Chamuleau RA;
Address:"Department of Medical Informatics, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands"
Journal Title:Biosens Bioelectron
Year:2014
Volume:20130930
Issue:
Page Number:129 - 134
DOI: 10.1016/j.bios.2013.09.047
ISSN/ISBN:1873-4235 (Electronic) 0956-5663 (Linking)
Abstract:"The aim of this study was to assess the classification accuracy of an e-Nose in detecting acute liver failure (ALF) in rats. Exhaled breath from 14 rats was repeatedly sampled by e-Nose (8 sensors) and an additional external CO2 sensor at three stages: healthy period; portacaval shunt; and during the development of ALF due to surgically induced complete liver ischemia. We performed principal component analysis (PCA) on the (grouped) sensor data in each stage and the classification accuracy of the first two principal components was assessed by the leave-one-out approach. In addition we performed gas chromatography-mass spectrometry (GC-MS) analysis of the exhaled breath from three rats. The first and second principal components from the PCA analysis of e-Nose data accounted for more than 95% variance in the data. Measurements in the ALF stage were contrasted with the measurements in the control stage. Leave-one-out validation showed classification accuracy of 96%. This accuracy was reached after 3h of ALF development, and was reached already after 2h when data of an external CO2 sensor were also included. GC-MS identified 2-butanol, 2-butanone, 2-pentanone and 1-propanol to be possibly elevated in the ALF stage. This is the first study to demonstrate that ALF in rats can be detected by e-Nose data analysis of the exhaled breath. Confirmation of these results in humans will be an important step forward in the non-invasive diagnosis of ALF"
Keywords:Animals Biosensing Techniques/*methods Breath Tests/methods Butanols/isolation & purification Butanones/isolation & purification Carbon Dioxide/*isolation & purification *Electronic Nose Exhalation/physiology Gas Chromatography-Mass Spectrometry Humans Li;
Notes:"MedlineWlodzimirow, K A Abu-Hanna, A Schultz, M J Maas, M A W Bos, L D J Sterk, P J Knobel, H H Soers, R J T Chamuleau, Robert A F M eng England 2013/10/19 Biosens Bioelectron. 2014 Mar 15; 53:129-34. doi: 10.1016/j.bios.2013.09.047. Epub 2013 Sep 30"

 
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 16-11-2024