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采用 LC-HRMS 结合稳定同位素标记肽对来自八种不同动物物种的乳清蛋白的多特征肽进行综合定量分析,以鉴别牛奶。

Comprehensive quantitation of multi-signature peptides originating from casein for the discrimination of milk from eight different animal species using LC-HRMS with stable isotope labeled peptides.

机构信息

State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

Department of Food Technology, Safety and Health, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt.

出版信息

Food Chem. 2022 Oct 1;390:133126. doi: 10.1016/j.foodchem.2022.133126. Epub 2022 May 2.

DOI:10.1016/j.foodchem.2022.133126
PMID:35567972
Abstract

Milk species adulteration has become an altering issue worldwide. In this study, a robust quantification method based on LC-HRMS for the simultaneous detection and differentiation of milk type from eight different animal species (namely: cow, water buffalo, wild yak, goat, sheep, donkey, horse, and camel) was established by detecting nine signature peptides originating from casein. The developed method was in-house validated in terms of sensitivity, accuracy, and precision. As a result, limits of quantification (LOQ) were ranging from 5 to 30 µg/L, recoveries ranged from 95.2% to 104.5%, and intra-day and inter-day variability were lower than 11.4% and 12.6%, respectively, for all the targeted peptides. Furthermore, this method was successfully applied to 46 commercial minor species' milk, in which 15 samples were false labeling. The obtained results indicate the necessity to monitor milk species adulteration in order to protect consumers from consuming misleading labeled minor species animal's milk.

摘要

牛奶掺假已成为一个全球性的问题。在这项研究中,建立了一种基于 LC-HRMS 的强大定量方法,用于同时检测和区分来自八种不同动物物种(即牛、水牛、野牦牛、山羊、绵羊、驴、马和骆驼)的牛奶类型,该方法通过检测来自酪蛋白的 9 个特征肽来实现。该方法在灵敏度、准确性和精密度方面进行了内部验证。结果表明,定量限(LOQ)范围为 5 至 30 µg/L,回收率范围为 95.2%至 104.5%,所有目标肽的日内和日间变异性均低于 11.4%和 12.6%。此外,该方法成功应用于 46 种商业小品种牛奶,其中 15 种样品为虚假标签。所得结果表明,有必要监测牛奶掺假,以保护消费者免受误导性标签的小品种动物奶的侵害。

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