Real-Time Profiling and Distinction of Lipids from Different Mammalian Milks Using Rapid Evaporative Ionization Mass Spectrometry Combined with Chemometric Analysis

主成分分析 质谱法 偏最小二乘回归 线性判别分析 化学 代谢物分析 奶牛 食品科学 色谱法 动物科学 数学 生物技术 统计 生物 代谢组学
作者
Yiwei Cui,Lijun Ge,Weibo Lu,Shitong Wang,Yunyan Li,Haifeng Wang,Min Huang,Hujun Xie,Jie Liao,Ye Tao,Pei Luo,Yin‐Yi Ding,Qing Shen
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:70 (25): 7786-7795 被引量:13
标识
DOI:10.1021/acs.jafc.2c01447
摘要

The price of mammalian milk from different animal species varies greatly due to differences in their yield and nutritional value. Therefore, the authenticity of dairy products has become a hotspot issue in the market due to the replacement or partial admixture of high-cost milk with its low-cost analog. Herein, four common commercial varieties of milk, including goat milk, buffalo milk, Holstein cow milk, and Jersey cow milk, were successfully profiled and differentiated from each other by rapid evaporative ionization mass spectrometry (REIMS) combined with chemometric analysis. This method was developed as a real-time lipid fingerprinting technique. Moreover, the established chemometric algorithms based on multivariate statistical methods mainly involved principal component analysis, orthogonal partial least squares-discriminant analysis, and linear discriminant analysis as the screening and verifying tools to provide insights into the distinctive molecules constituting the four varieties of milk. The ions with m/z 229.1800, 243.1976, 257.2112, 285.2443, 299.2596, 313.2746, 341.3057, 355.2863, 383.3174, 411.3488, 439.3822, 551.5051, 577.5200, 628.5547, 656.5884, 661.5455, 682.6015, and 684.6146 were selected as potential classified markers. The results of the present work suggest that the proposed method could serve as a reference for recognizing dairy fraudulence related to animal species and expand the application field of REIMS technology.
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