脂类学
维加维斯
化学计量学
多元统计
判别函数分析
代谢组学
多元分析
生物
色谱法
计算生物学
生物技术
化学
食品科学
生物信息学
数学
统计
医学
替代医学
病理
中医药
作者
Peng Chen,Yabo Shi,Xiaoyan Xiao,Rong Xue,Haijun Yu,Lin Li,Wei Wang,Tulin Lu,Conglong Xu
标识
DOI:10.1016/j.foodres.2023.112740
摘要
The geographical traceability of food products is seen as a distinctive feature of the future of food which is increasingly becoming a concern for consumers. In this research, differences in the lipid composition of Coix seed samples from four major Chinese origins were investigated using non-targeted lipidomics. By multivariate statistical analysis, unsupervised PCA and OPLS-DA based differentiation between the four origins of Coix seed samples could be achieved. The OPLS-DA VIP > 1 screened 72 lipids out of 1211 lipids as potential markers to distinguish Coix seeds from different origins. In addition, the potential markers (SPH(d16:0), Cer(d18:2/20:0 + O) and PC(8:0e/8:0) were combined with statistical analysis algorithms to construct a discriminant function for rapid differentiation of Coix seed samples from different origins and a specific function for different origins with 100% discrimination accuracy. In general, a rapid and accurate method combining multivariate chemometrics and algorithms was developed based on untargeted lipidomics to determine the geographical origin of Coix seed samples, which can also be applied to other agricultural products.
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