Department of Chemistry, University of Otago , P.O. Box 56, Dunedin, New Zealand.
J Agric Food Chem. 2013 Sep 18;61(37):8914-23. doi: 10.1021/jf4024883. Epub 2013 Sep 4.
The aim of this study was to investigate the correlation of δ²H and δ¹³C of bulk milk powder and milk powder fatty acids to their production region. A total of 46 milk powder samples from across New Zealand were collected and analyzed. Principal component analysis (PCA) showed that the δ²H and δ¹³C of four fatty acids (C4:0, C14:0, C16:0, C18:1) and bulk milk powder were found to be correlated with regional production area. Linear discriminant analysis (LDA) models were prepared using different combinations of bulk and fatty acid δ²H and δ¹³C. All models were effective in discriminating samples from the North and South Islands. The LDA model using just fatty acid δ²H and δ¹³C provided the best separation. Therefore, the isotopic composition of the aforementioned fatty acids can be utilized as a good biomarker in milk powder that conveys reliable isotopic information to track milk powders to their regional origin.
本研究旨在探讨全脂奶粉和奶粉脂肪酸中 δ²H 和 δ¹³C 与产地的相关性。共采集并分析了来自新西兰各地的 46 个奶粉样本。主成分分析（PCA）表明，四种脂肪酸（C4:0、C14:0、C16:0、C18:1）和全脂奶粉的 δ²H 和 δ¹³C 与产地的区域有关。利用全脂和脂肪酸 δ²H 和 δ¹³C 的不同组合制备了线性判别分析（LDA）模型。所有模型都能有效区分北岛和南岛的样本。仅使用脂肪酸 δ²H 和 δ¹³C 的 LDA 模型提供了最佳分离。因此，上述脂肪酸的同位素组成可以作为奶粉的良好生物标志物，为追踪奶粉的产地提供可靠的同位素信息。
