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VOC profile analyses for the development of sensors for rapid on-line slaughterhouse detection of boar taint in entire male pigs
Burgeon, Clément; Vercruysse, Amélie; Martin, Henri et al.
2021
 

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Keywords :
boar taint; VOC; skatole; indole; androstenone; GC-MS
Abstract :
[en] Boar taint is a strong unpleasant smell found in the meat of some uncastrated male pigs. This taint originates mainly from two molecules stored in the fat, androstenone and skatole and to a lesser extent indole. These molecules are emitted when cooking meat, releasing a urine- and fecal- like odour which leads to a strong consumer dissatisfaction. To ensure that tainted meat does not reach the consumer, detection of tainted carcasses is performed in slaughterhouses. Fast, cheap and accurate sensor-based methods are being developed to replace current human nose or colorimetric methods. This study aims at determining which VOC could be aimed by sensors for boar taint detection during heating of the fat and understanding whether some VOC found in slaughterhouse’s air could interfere with the correct functioning of the sensor.
Disciplines :
Agriculture & agronomy
Author, co-author :
Burgeon, Clément  ;  Université de Liège - ULiège > Terra
Vercruysse, Amélie ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech
Martin, Henri ;  Université de Liège - ULiège > Terra
Debliquy, Marc;  Université de Mons - UMONS > Faculté Polytechnique > Service de Science des Matériaux
Lahem, Driss;  Materia Nova ASBL > Materials R&D Centre
Rodriguez, Justine;  Université de Mons - UMONS > Faculté Polytechnique > Service de Science des Matériaux
Ly, Ahmadou;  Materia Nova ASBL > Materials R&D Centre
Fauconnier, Marie-Laure  ;  Université de Liège - ULiège > Département GxABT > Chimie des agro-biosystèmes
Language :
English
Title :
VOC profile analyses for the development of sensors for rapid on-line slaughterhouse detection of boar taint in entire male pigs
Publication date :
February 2021
Event name :
RME 2021
Event date :
1,2 et 3 février 2021
Audience :
International
Name of the research project :
AGROSENSOR
Funders :
Fond Européen de Développement Regional, région Wallonne, projet AGROSENSOR
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since 18 February 2021

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