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Development and validation of a classification model for boar taint detection in pork fat samples.
Rodrigues, Anaïs; Massenet, Thibault; Dubois, Lena M; Huet, Anne-Catherine; Markey, Alice; Wavreille, José; Gengler, Nicolas; Stefanuto, Pierre-Hugues; Focant, Jean-François.
Afiliación
  • Rodrigues A; Organic and Biological Analytical Chemistry Group, MolSys Research Unit, University of Liège, 4000 Liège, Belgium. Electronic address: anais.rodrigues@uliege.be.
  • Massenet T; Organic and Biological Analytical Chemistry Group, MolSys Research Unit, University of Liège, 4000 Liège, Belgium. Electronic address: thibault.massenet@uliege.be.
  • Dubois LM; Organic and Biological Analytical Chemistry Group, MolSys Research Unit, University of Liège, 4000 Liège, Belgium. Electronic address: lena_dubois@leco.com.
  • Huet AC; CER Groupe, Analytical Laboratory, 6900 Marloie, Belgium. Electronic address: ac.huet@cergroupe.be.
  • Markey A; TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. Electronic address: alice.markey@uliege.be.
  • Wavreille J; Animal Production Unit, Walloon Agricultural Research Centre, 5030 Gembloux, Belgium. Electronic address: j.wavreille@cra.wallonie.be.
  • Gengler N; TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. Electronic address: nicolas.gengler@uliege.be.
  • Stefanuto PH; Organic and Biological Analytical Chemistry Group, MolSys Research Unit, University of Liège, 4000 Liège, Belgium. Electronic address: phstefanuto@uliege.be.
  • Focant JF; Organic and Biological Analytical Chemistry Group, MolSys Research Unit, University of Liège, 4000 Liège, Belgium. Electronic address: jf.focant@uliege.be.
Food Chem ; 443: 138572, 2024 Jun 15.
Article en En | MEDLINE | ID: mdl-38295570
ABSTRACT
This study aims to characterize a complete volatile organic compound profile of pork neck fat for boar taint prediction. The objectives are to identify specific compounds related to boar taint and to develop a classification model. In addition to the well-known androstenone, skatole and indole, 10 other features were found to be discriminant according to untargeted volatolomic analyses were conducted on 129 samples using HS-SPME-GC×GC-TOFMS. To select the odor-positive samples among the 129 analyzed, the selection was made by combining human nose evaluations with the skatole and androstenone concentrations determined using UHPLC-MS/MS. A comparison of the data of the two populations was performed and a statistical model analysis was built on 70 samples out of the total of 129 samples fully positive or fully negative through these two orthogonal methods for tainted prediction. Then, the model was applied to the 59 remaining samples. Finally, 7 samples were classified as tainted.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carne Roja / Carne de Cerdo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carne Roja / Carne de Cerdo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans / Male Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido