Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, Zhejiang 310012, China.
Zhejiang Huacai Testing Technology Co., Ltd., Shaoxing, Zhejiang 311800, China.
J Agric Food Chem. 2022 Jun 29;70(25):7786-7795. doi: 10.1021/acs.jafc.2c01447. Epub 2022 Jun 13.
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 / 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.
由于不同动物物种的产奶量和营养价值的差异,其牛奶价格差异很大。因此,由于高成本牛奶被低成本类似物替代或部分混合,乳制品的真实性已成为市场上的热点问题。在此,通过快速蒸发电离质谱(REIMS)结合化学计量学分析,成功地对四种常见的商业牛奶品种(山羊奶、水牛奶、荷斯坦奶牛奶和泽西奶牛奶)进行了分析和区分。该方法被开发为一种实时脂质指纹图谱技术。此外,基于多元统计方法的建立的化学计量算法主要涉及主成分分析、正交偏最小二乘判别分析和线性判别分析作为筛选和验证工具,以深入了解构成四种牛奶的独特分子。选择了具有/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 和 684.6146 的离子作为潜在的分类标记。本工作的结果表明,该方法可作为识别与动物种类有关的乳制品欺诈的参考,并扩展了 REIMS 技术的应用领域。