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A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models
Each year in Europe, meat is associated with 2.3 million foodborne illnesses, with a high contribution from beef meat. Many of these illnesses are attributed to pathogenic bacterial contamination and inadequate operations leading to growth and/or insufficient inactivation occurring along the whole f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037662/ https://www.ncbi.nlm.nih.gov/pubmed/31973083 http://dx.doi.org/10.3390/ijerph17030688 |
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author | Tesson, Vincent Federighi, Michel Cummins, Enda de Oliveira Mota, Juliana Guillou, Sandrine Boué, Géraldine |
author_facet | Tesson, Vincent Federighi, Michel Cummins, Enda de Oliveira Mota, Juliana Guillou, Sandrine Boué, Géraldine |
author_sort | Tesson, Vincent |
collection | PubMed |
description | Each year in Europe, meat is associated with 2.3 million foodborne illnesses, with a high contribution from beef meat. Many of these illnesses are attributed to pathogenic bacterial contamination and inadequate operations leading to growth and/or insufficient inactivation occurring along the whole farm-to-fork chain. To ensure consumer health, decision-making processes in food safety rely on Quantitative Microbiological Risk Assessment (QMRA) with many applications in recent decades. The present study aims to conduct a critical analysis of beef QMRAs and to identify future challenges. A systematic approach, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was used to collate beef QMRA models, identify steps of the farm-to-fork chain considered, and analyze inputs and outputs included as well as modelling methods. A total of 2343 articles were collected and 67 were selected. These studies focused mainly on western countries and considered Escherichia coli (EHEC) and Salmonella spp. pathogens. Future challenges were identified and included the need of whole-chain assessments, centralization of data collection processes, and improvement of model interoperability through harmonization. The present analysis can serve as a source of data and information to inform QMRA framework for beef meat and will help the scientific community and food safety authorities to identify specific monitoring and research needs. |
format | Online Article Text |
id | pubmed-7037662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70376622020-03-10 A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models Tesson, Vincent Federighi, Michel Cummins, Enda de Oliveira Mota, Juliana Guillou, Sandrine Boué, Géraldine Int J Environ Res Public Health Review Each year in Europe, meat is associated with 2.3 million foodborne illnesses, with a high contribution from beef meat. Many of these illnesses are attributed to pathogenic bacterial contamination and inadequate operations leading to growth and/or insufficient inactivation occurring along the whole farm-to-fork chain. To ensure consumer health, decision-making processes in food safety rely on Quantitative Microbiological Risk Assessment (QMRA) with many applications in recent decades. The present study aims to conduct a critical analysis of beef QMRAs and to identify future challenges. A systematic approach, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was used to collate beef QMRA models, identify steps of the farm-to-fork chain considered, and analyze inputs and outputs included as well as modelling methods. A total of 2343 articles were collected and 67 were selected. These studies focused mainly on western countries and considered Escherichia coli (EHEC) and Salmonella spp. pathogens. Future challenges were identified and included the need of whole-chain assessments, centralization of data collection processes, and improvement of model interoperability through harmonization. The present analysis can serve as a source of data and information to inform QMRA framework for beef meat and will help the scientific community and food safety authorities to identify specific monitoring and research needs. MDPI 2020-01-21 2020-02 /pmc/articles/PMC7037662/ /pubmed/31973083 http://dx.doi.org/10.3390/ijerph17030688 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Tesson, Vincent Federighi, Michel Cummins, Enda de Oliveira Mota, Juliana Guillou, Sandrine Boué, Géraldine A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title | A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title_full | A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title_fullStr | A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title_full_unstemmed | A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title_short | A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models |
title_sort | systematic review of beef meat quantitative microbial risk assessment models |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037662/ https://www.ncbi.nlm.nih.gov/pubmed/31973083 http://dx.doi.org/10.3390/ijerph17030688 |
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