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

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 tota...

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Autores principales: Du, Bingyao, Meng, Lu, Wu, Haoming, Yang, Huaigu, Liu, Huimin, Zheng, Nan, Zhang, Yangdong, Zhao, Shengguo, Wang, Jiaqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106800/
https://www.ncbi.nlm.nih.gov/pubmed/35578614
http://dx.doi.org/10.3389/fnut.2022.845150
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author Du, Bingyao
Meng, Lu
Wu, Haoming
Yang, Huaigu
Liu, Huimin
Zheng, Nan
Zhang, Yangdong
Zhao, Shengguo
Wang, Jiaqi
author_facet Du, Bingyao
Meng, Lu
Wu, Haoming
Yang, Huaigu
Liu, Huimin
Zheng, Nan
Zhang, Yangdong
Zhao, Shengguo
Wang, Jiaqi
author_sort Du, Bingyao
collection PubMed
description 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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spelling pubmed-91068002022-05-15 Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk Du, Bingyao Meng, Lu Wu, Haoming Yang, Huaigu Liu, Huimin Zheng, Nan Zhang, Yangdong Zhao, Shengguo Wang, Jiaqi Front Nutr Nutrition 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. Frontiers Media S.A. 2022-04-28 /pmc/articles/PMC9106800/ /pubmed/35578614 http://dx.doi.org/10.3389/fnut.2022.845150 Text en Copyright © 2022 Du, Meng, Wu, Yang, Liu, Zheng, Zhang, Zhao and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Du, Bingyao
Meng, Lu
Wu, Haoming
Yang, Huaigu
Liu, Huimin
Zheng, Nan
Zhang, Yangdong
Zhao, Shengguo
Wang, Jiaqi
Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title_full Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title_fullStr Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title_full_unstemmed Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title_short Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk
title_sort source tracker modeling based on 16s rdna sequencing and analysis of microbial contamination sources for pasteurized milk
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106800/
https://www.ncbi.nlm.nih.gov/pubmed/35578614
http://dx.doi.org/10.3389/fnut.2022.845150
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