Cargando…

Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model

Pork is one of the most common foods causing microbial foodborne diseases. Since pork directly enters the market after slaughtering, the control of microbial contamination in the slaughtering processes is the key to ensuring the quality and safety of pork. The contamination level of Escherichia coli...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Tengteng, Zhao, Ge, Liu, Yunzhe, Wang, Lin, Gao, Yubin, Zhao, Jianmei, Liu, Na, Huang, Xiumei, Zhang, Qingqing, Liu, Junhui, Zhang, Xiyue, Wang, Junwei, Xu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992707/
https://www.ncbi.nlm.nih.gov/pubmed/35401493
http://dx.doi.org/10.3389/fmicb.2022.828279
_version_ 1784683783120748544
author Yang, Tengteng
Zhao, Ge
Liu, Yunzhe
Wang, Lin
Gao, Yubin
Zhao, Jianmei
Liu, Na
Huang, Xiumei
Zhang, Qingqing
Liu, Junhui
Zhang, Xiyue
Wang, Junwei
Xu, Ying
author_facet Yang, Tengteng
Zhao, Ge
Liu, Yunzhe
Wang, Lin
Gao, Yubin
Zhao, Jianmei
Liu, Na
Huang, Xiumei
Zhang, Qingqing
Liu, Junhui
Zhang, Xiyue
Wang, Junwei
Xu, Ying
author_sort Yang, Tengteng
collection PubMed
description Pork is one of the most common foods causing microbial foodborne diseases. Since pork directly enters the market after slaughtering, the control of microbial contamination in the slaughtering processes is the key to ensuring the quality and safety of pork. The contamination level of Escherichia coli, a health-indicator bacterium, can reflect the risk level of potential pathogens. In order to assess the E. coli exposure risk of pork during slaughtering and to identify the key control points, we established an E. coli quantitative exposure assessment model for swine-slaughtering processes in slaughterhouses of different sizes. The model simulation data indicated the E. coli contamination pattern on the surfaces of swine carcasses during slaughtering. The changes in E. coli contamination were analyzed according to the simulation data of each slaughtering process. It was found that the number of E. coli after trimming in big and small slaughterhouses increased to the maximum values for the whole processes, which were 3.63 and 3.52 log(10) CFU/100 cm(2), respectively. The risk contribution of each slaughtering process to the E. coli contamination on the surface of terminal swine carcasses can be determined by correlation analysis. Because the absolute value of correlation coefficient during the trimming process was maximum (0.49), it was regarded as the most important key control point. This result can be further proved via the multilocus sequence typing of E. coli. The dominant sequence type before trimming processes was ST10. ST1434 began to appear in the trimming process and then became the dominant sequence type in the trimming and pre-cooling processes. The model can provide a theoretical basis for microbial hygiene supervision and risk control in swine-slaughtering processes.
format Online
Article
Text
id pubmed-8992707
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89927072022-04-09 Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model Yang, Tengteng Zhao, Ge Liu, Yunzhe Wang, Lin Gao, Yubin Zhao, Jianmei Liu, Na Huang, Xiumei Zhang, Qingqing Liu, Junhui Zhang, Xiyue Wang, Junwei Xu, Ying Front Microbiol Microbiology Pork is one of the most common foods causing microbial foodborne diseases. Since pork directly enters the market after slaughtering, the control of microbial contamination in the slaughtering processes is the key to ensuring the quality and safety of pork. The contamination level of Escherichia coli, a health-indicator bacterium, can reflect the risk level of potential pathogens. In order to assess the E. coli exposure risk of pork during slaughtering and to identify the key control points, we established an E. coli quantitative exposure assessment model for swine-slaughtering processes in slaughterhouses of different sizes. The model simulation data indicated the E. coli contamination pattern on the surfaces of swine carcasses during slaughtering. The changes in E. coli contamination were analyzed according to the simulation data of each slaughtering process. It was found that the number of E. coli after trimming in big and small slaughterhouses increased to the maximum values for the whole processes, which were 3.63 and 3.52 log(10) CFU/100 cm(2), respectively. The risk contribution of each slaughtering process to the E. coli contamination on the surface of terminal swine carcasses can be determined by correlation analysis. Because the absolute value of correlation coefficient during the trimming process was maximum (0.49), it was regarded as the most important key control point. This result can be further proved via the multilocus sequence typing of E. coli. The dominant sequence type before trimming processes was ST10. ST1434 began to appear in the trimming process and then became the dominant sequence type in the trimming and pre-cooling processes. The model can provide a theoretical basis for microbial hygiene supervision and risk control in swine-slaughtering processes. Frontiers Media S.A. 2022-03-24 /pmc/articles/PMC8992707/ /pubmed/35401493 http://dx.doi.org/10.3389/fmicb.2022.828279 Text en Copyright © 2022 Yang, Zhao, Liu, Wang, Gao, Zhao, Liu, Huang, Zhang, Liu, Zhang, Wang and Xu. 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 Microbiology
Yang, Tengteng
Zhao, Ge
Liu, Yunzhe
Wang, Lin
Gao, Yubin
Zhao, Jianmei
Liu, Na
Huang, Xiumei
Zhang, Qingqing
Liu, Junhui
Zhang, Xiyue
Wang, Junwei
Xu, Ying
Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title_full Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title_fullStr Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title_full_unstemmed Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title_short Analysis of Key Control Points of Microbial Contamination Risk in Pork Production Processes Using a Quantitative Exposure Assessment Model
title_sort analysis of key control points of microbial contamination risk in pork production processes using a quantitative exposure assessment model
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992707/
https://www.ncbi.nlm.nih.gov/pubmed/35401493
http://dx.doi.org/10.3389/fmicb.2022.828279
work_keys_str_mv AT yangtengteng analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT zhaoge analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT liuyunzhe analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT wanglin analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT gaoyubin analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT zhaojianmei analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT liuna analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT huangxiumei analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT zhangqingqing analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT liujunhui analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT zhangxiyue analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT wangjunwei analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel
AT xuying analysisofkeycontrolpointsofmicrobialcontaminationriskinporkproductionprocessesusingaquantitativeexposureassessmentmodel