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.
摘要：
这项研究旨在表征猪颈脂肪的完整挥发性有机化合物轮廓，以预测公猪的污染。目的是识别与公猪污染相关的特定化合物并开发分类模型。除了众所周知的雄烯酮,skatole和吲哚,根据使用HS-SPME-GC×GC-TOFMS对129个样品进行的非靶向体积组学分析，发现10个其他特征是有区别的。要在分析的129个样本中选择气味阳性样本，通过将人鼻评估与使用UHPLC-MS/MS确定的skatole和雄烯酮浓度相结合来进行选择。对两个群体的数据进行了比较，并通过这两种正交方法对全部129个样本中的70个样本进行了统计模型分析，以进行污染预测。然后，该模型应用于剩余的59个样本。最后,7个样品被分类为污染的。
