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Review | Publishing Language: Chinese | Open Access

Progress in Application of Omics in Species Identification of Dairy Products

Yujiao FAN1 Meirong CAO1Sufang FAN1Zhengchao WEI2 ( )Yan ZHANG1 ( )
Hebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology, State Administration for Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health, Hebei Food Inspection and Research Institute, Shijiazhuang 050227, China
The 54th Research Institute of CETC, Shijiazhuang 050051, China
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Abstract

Dairy products are rich in protein, fat, oligosaccharides, and micronutrients, and the global demand for these products is steadily increasing. However, in the processing of dairy products, there may be some problems such as adulteration with inferior milk or passing off low-quality milk products as high-quality ones. Therefore, establishing a robust method to identify the species composition of dairy products is crucial for quality supervision in the dairy industry. Omics technologies, characterized by their high throughput nature, broad applicability, and ability to accurately reflect food status, have increasingly been utilized for species identification in dairy products. This paper reviews the concepts of genomics, proteomics, and metabolomics, highlighting the current status and future prospects of these omics approaches in species identification in dairy products. The integration of multiple omics technologies will provide more reliable support for accurate, rapid, and comprehensive identification of dairy products.

CLC number: TS201.6 Document code: A Article ID: 1671-5187(2025)03-0063-08

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Journal of Dairy Science and Technology
Pages 63-70

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Cite this article:
FAN Y, CAO M, FAN S, et al. Progress in Application of Omics in Species Identification of Dairy Products. Journal of Dairy Science and Technology, 2025, 48(3): 63-70. https://doi.org/10.7506/rykxyjs1671-5187-20241217-109

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Received: 17 December 2024
Published: 01 May 2025
© Bright Dairy & Food Co., Ltd. 2025.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).