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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9106800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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