Advancement of omics techniques for chemical profile analysis and authentication of milk

认证(法律) 计算生物学 组学 生物 计算机科学 生物信息学 计算机安全
作者
Chenchen Qin,Lei Liu,Yu Wang,Tuo Leng,Mengting Zhu,Bei Gan,Jianhua Xie,Qiang Yu,Yi Chen
出处
期刊:Trends in Food Science and Technology [Elsevier]
卷期号:127: 114-128 被引量:21
标识
DOI:10.1016/j.tifs.2022.06.001
摘要

Milk is one of the most easily adulterated foods, and the fact that its milk composition is influenced by factors such as animal species and processing methods makes the identification of adulterated dairy products even more challenging. Therefore, there is a need for more accurate, faster and comprehensive techniques to address the problem of dairy product adulteration. As one of the rapidly developing technologies in recent years, omic techniques have found increasing application for the identification of dairy products due to their high throughput, wide applicability and more accurate reflection of food status. This review provides an important overview of the nutritional characterization and adulteration identification of milk products by omic techniques over the last few years. This paper highlights the differences between different breeds and processing methods of bovine milk from omic perspective, and introduces the scope, advantages and disadvantages of different omic techniques in dairy products. It is found that metabolomics, proteomics and lipid omics are widely used in the study of dairy products, and promising results have been achieved, and it is strongly recommended to apply multiple analysis techniques jointly to enhance the compound coverage and obtain comprehensive information for the future omics studies. • Reviewed effects of processing and origin on milk components of untarget analysis. • Omic technology is increasingly being used in identifying milk adulteration. • The benefits and drawbacks of omic techniques in milk analysis were discussed.
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