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

当前位置： X-MOL 学术 › J. Agric. Food Chem. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Real-Time Profiling and Distinction of Lipids from Different Mammalian Milks Using Rapid Evaporative Ionization Mass Spectrometry Combined with Chemometric Analysis
Journal of Agricultural and Food Chemistry ( IF 5.7 ) Pub Date : 2022-06-13 , DOI: 10.1021/acs.jafc.2c01447
Yiwei Cui ₁ , Lijun Ge ₁ , Weibo Lu ₁ , Shitong Wang ₁ , Yunyan Li ₁ , Haifeng Wang ₁ , Min Huang ₁ , Hujun Xie ₁ , Jie Liao ₂ , Ye Tao ₃ , Pei Luo ₄ , Yin-Yi Ding ₁ , Qing Shen ₁

Affiliation

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.

中文翻译：

使用快速蒸发电离质谱结合化学计量分析对不同哺乳动物乳中的脂质进行实时分析和区分

由于产量和营养价值的差异，来自不同动物物种的哺乳动物奶的价格差异很大。因此，由于高价牛奶与其低成本类似物的替代或部分混合，乳制品的真伪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（包括山羊奶、水牛奶、荷斯坦牛奶和泽西牛奶）进行了分析和区分。该方法被开发为一种实时脂质指纹识别技术。此外，已建立的基于多元统计方法的化学计量学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。离子与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. 目前的工作结果表明，该方法可以为识别与动物物种相关的乳制品造假提供参考，并扩大REIMS技术的应用领域。

更新日期：2022-06-13

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11