Poster (Scientific congresses and symposiums)
Boar taint detection - Development of sensors for rapid on line slaughterhouse detection of boar taint an approach based on the analysis of VOC profiles
Burgeon, Clément; Markey, Alice; Debliquy, Marc et al.
202167th ICOMST - International congress on meat science and technology
 

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Keywords :
boar taint; skatole; androstenone
Abstract :
[en] Boar taint is a unpleasant smell found in the meat of some entire male pigs. Skatole and androstenone stored in fat are mainly responsible of this smell. They are emitted when the meat is cooked, releasing a urine and fecal like odor. Currently, detection of tainted carcasses is performed in slaughterhouses with the human nose or a colorimetric method. Fast, cheap and accurate VOCs sensor based methods are being developed to replace them.Elevated temperature VOC profiles are examined to -facilitate new sensor development , -gain the understanding of VOCs perceived during current boar taint sensory evaluations, -help in understanding which VOCs perceived by the consumers during the cooking of pork meat are lipid derived.
Disciplines :
Agriculture & agronomy
Author, co-author :
Burgeon, Clément  ;  Université de Liège - ULiège > Département GxABT > Chimie des agro-biosystèmes
Markey, Alice  ;  Université de Liège - ULiège > Département GxABT > Ingénierie des productions animales et nutrition
Debliquy, Marc;  Université de Mons - UMONS
Lahem, Driss;  Materia Nova ASBL
Rodriguez, Justine;  Université de Mons - UMONS
Ly, Ahmadou;  Materia Nova ASBL
Fauconnier, Marie-Laure  ;  Université de Liège - ULiège > Département GxABT > Chimie des agro-biosystèmes
Language :
English
Title :
Boar taint detection - Development of sensors for rapid on line slaughterhouse detection of boar taint an approach based on the analysis of VOC profiles
Publication date :
August 2021
Number of pages :
Poster
Event name :
67th ICOMST - International congress on meat science and technology
Event place :
Cracovie, Poland
Event date :
23 - 27 aout 2021
Audience :
International
Name of the research project :
AGROSENSOR
Funders :
FEDER - Fonds Européen de Développement Régional [BE]
Available on ORBi :
since 19 November 2021

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