Cossignani L, Montesano D, Simonetti M S, Blasi F
Department of Pharmaceutical Sciences, Section of Food Science and Nutrition, University of Perugia, Via San Costanzo, 06126 Perugia, Italy.
J Anal Methods Chem. 2016;2016:7482620. doi: 10.1155/2016/7482620. Epub 2016 Jul 28.
Stereospecific analysis is an important tool for the characterization of lipid fraction of food products. In the present research, an approach to characterize arabica and robusta varieties by structural analysis of the triacylglycerol (TAG) fraction is reported. The lipids were Soxhlet extracted from ground roasted coffee beans with petroleum ether, and the fatty acids (FA) were determined as their corresponding methyl esters. The results of a chemical-enzymatic-chromatographic method were elaborated by a chemometric procedure, Linear Discriminant Analysis (LDA). According to the total and intrapositional FA composition of TAG fraction, the obtained results were able to characterize roasted pure coffee samples and coffee mixtures with 10% robusta coffee added to arabica coffee. Totally correct classified samples were obtained when the TAG stereospecific results of the considered coffee mixture (90 : 10 arabica/robusta) were elaborated by LDA procedure.
立体专一性分析是表征食品脂质部分的重要工具。在本研究中,报道了一种通过三酰甘油(TAG)部分的结构分析来表征阿拉比卡和罗布斯塔品种的方法。用石油醚通过索氏提取法从研磨后的烘焙咖啡豆中提取脂质,并将脂肪酸(FA)测定为其相应的甲酯。采用化学计量学方法线性判别分析(LDA)对化学-酶-色谱法的结果进行阐述。根据TAG部分的总脂肪酸和位置内脂肪酸组成,所得结果能够表征烘焙纯咖啡样品以及在阿拉比卡咖啡中添加10%罗布斯塔咖啡的咖啡混合物。当通过LDA程序对所考虑的咖啡混合物(90 : 10阿拉比卡/罗布斯塔)的TAG立体专一性结果进行阐述时,获得了完全正确分类的样品。