%0 Journal Article
%T Development and validation of a classification model for boar taint detection in pork fat samples.
%A Rodrigues A
%A Massenet T
%A Dubois LM
%A Huet AC
%A Markey A
%A Wavreille J
%A Gengler N
%A Stefanuto PH
%A Focant JF
%J Food Chem
%V 443
%N 0
%D 2024 Jun 15
%M 38295570
%F 9.231
%R 10.1016/j.foodchem.2024.138572
%X 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.