Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy.
J Dairy Res. 2011 Aug;78(3):335-42. doi: 10.1017/S0022029911000495.
Stereospecific analysis is an important tool for the characterization of lipid fraction of food matrices, and also of milk samples. The results of a chemical-enzymatic-chromatographic analytical method were elaborated by chemometric procedures such as linear discriminant analysis (LDA) and artificial neural network (ANN). According to the total composition and intrapositional fatty acid distribution in the triacylglycerol (TAG) backbone, the obtained results were able to characterize pure milk samples and milk mixtures with 1, 3, 5% cow milk added to donkey milk. The resulting score was very satisfactory. Totally correct classified samples were obtained when the TAG stereospecific results of all the considered milk mixtures (donkey-cow) were elaborated by LDA and ANN chemometric procedures.
立体专一性分析是食品基质，包括牛奶样品中脂质部分特征描述的重要工具。通过化学-酶-色谱分析方法得到的结果，可通过化学计量学方法（如线性判别分析（LDA）和人工神经网络（ANN））进行进一步分析。根据三酰基甘油（TAG）主链中的总组成和脂肪酸的位置分布，可以对纯牛奶样品以及添加 1%、3%和 5%牛奶的牛奶混合物进行特征描述。结果令人非常满意。当通过 LDA 和 ANN 化学计量学方法对所有考虑的牛奶混合物（驴-牛）的TAG 立体专一性结果进行分析时，所有样本都被正确分类。
