Titre du document / Document title
Detection and simultaneous identification of microorganisms from headspace samples using an electronic nose
Auteur(s) / Author(s)
GIBSON T. D. (1) ;
PROSSER O. (2) ;
HULBERT J. N. (1) ;
MARSHALL R. W. (1) ;
CORCORAN P. (3) ;
LOWERY P. (3) ;
RUCK-KEENE E. A. (4) ;
HERON S. (4) ;
Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)
(1) Department of Biochemistry and Molecular Biology, Astbury Building, University of Leeds, Leeds, West Yorkshire, LS2 9JT, ROYAUME-UNI
(2) Department of Microbiology, University of Leeds, Leeds, LS2 9JT, ROYAUME-UNI
(3) Sensing and Control Research Group, School of Engineering, University of Derby, Kedleston Road, Derby, DE22 1GB, ROYAUME-UNI
(4) Bloodhound Sensors Limited, 175 Woodhouse Lone, Leeds, LS2 3AR, ROYAUME-UNI
Résumé / Abstract
The detection and simultaneous identification of a range of microorganisms by measuring the volatile compounds produced from plate cultures has been carried out using an electronic nose and a neural network classifier. Headspace samples were taken from static atmospheres formed from inoculated agar plates after a suitable growth period at 37°C and analysed using a standard 16 sensor array operating in transient flow mode. The response of the sensor array to water and to the control media in the absence of microbial growth was also determined, allowing greater discrimination of microbial volatiles. The response curves produced were processed using standard back propagation neural network techniques to provide identification. The overall classification rate for 12 different bacteria and one pathogenic yeast was 93.4%. Data for a sub-set of seven bacteria gave 100% classification using the same methods. In a second experiment three similar yeast cultures were compared and correctly classified at a level of 96.3% with no pre-processing to remove the sample signal generated by the media. Principal component analysis on selected data gave clear discrimination between water vapour and the test samples.
Revue / Journal Title
Sensors and actuators. B, Chemical
ISSN
0925-4005
Source / Source
Congrès
EUROSENSORS N
o10, Leuven
, BELGIQUE
(08/09/1996)
1997, vol. 44, n
o 1-3 (373 p.) (21 ref.), pp. 413-422
Langue / Language
Anglais
Editeur / Publisher
Elsevier, Kidlington, ROYAUME-UNI
(1990)
(Revue)
Mots-clés anglais / English Keywords
Sensor array ;
Chemical sensor ;
Gas detector ;
Electronic nose ;
Microorganism ;
Organoleptic properties ;
Chemometrics ;
Data analysis ;
Principal component analysis ;
Neural network ;
Pattern recognition ;
Molecular structure ;
Mots-clés français / French Keywords
Réseau capteur ;
Capteur chimique ;
Détecteur de gaz ;
Nez électronique ;
Microorganisme ;
Propriété organoleptique ;
Chimiométrie ;
Analyse donnée ;
Analyse composante principale ;
Réseau neuronal ;
Reconnaissance forme ;
Structure moléculaire ;
Mots-clés espagnols / Spanish Keywords
Red sensores ;
Captador químico ;
Detector de gas ;
Nariz electrónica ;
Microorganismo ;
Propiedad organoléptica ;
Quimiometría ;
Análisis datos ;
Análisis componente principal ;
Red neuronal ;
Reconocimiento patrón ;
Estructura molecular ;
Localisation / Location
INIST-CNRS, Cote INIST : 19425 B, 35400007796262.0300
Nº notice refdoc (ud4) : 2182027
