数字农科院2.0

Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk

文献类型： 外文期刊

作者： Du, Bingyao;Meng, Lu;Wu, Haoming;Yang, Huaigu;Liu, Huimin;Zheng, Nan;Zhang, Yangdong;Zhao, Shengguo;Wang, Jiaqi

作者机构：

关键词： milk;microbial;contamination;16s rDNA sequencing;Source Tracker

期刊名称： FRONTIERS IN NUTRITION

ISSN： 2296-861X

年卷期： 2022 年 9 卷

页码：

收录情况： SCIE（2022版）

摘要： Milk is rich in fat, protein, minerals, vitamins, peptides, immunologically active substances, and other nutrients, and it plays an important role in satisfying human nutrition and health. However, dairy product safety incidents caused by microbial contamination have occurred. We found that the total bacterial numbers in the pasteurized product were low and far below the limit requirements of the food safety standards of the European Union, the United States, and China. At the genus level, the primary microbial groups found in milk samples were Acinetobacter, Macrococcus, Pseudomonas, and Lactococcus, while in the equipment rinse water and air samples there was contamination by Stenotrophomonas and Acinetobacter. The Source Tracker model analysis indicated that the microorganisms in the final milk products were significantly related to the contamination in product tanks and raw milk. Therefore, it is the hope that this work can provide guidance to pinpoint contamination problems using the proper quality control sampling at specific stages in the pasteurization process.

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