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A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models

1
INRA, Oniris, SECALIM, 44307 Nantes, France
2
Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland
*
Author to whom correspondence should be addressed.
Current address: INRAE, Oniris, SECALIM, 44307 Nantes, France.
Int. J. Environ. Res. Public Health 2020, 17(3), 688; https://doi.org/10.3390/ijerph17030688
Received: 29 November 2019 / Revised: 13 January 2020 / Accepted: 15 January 2020 / Published: 21 January 2020
(This article belongs to the Special Issue Food-Borne Disease Prevention and Risk Assessment)
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. View Full-Text
Keywords: food safety; meat; beef processing; farm-to-fork; mathematical model; predictive microbiology; QMRA food safety; meat; beef processing; farm-to-fork; mathematical model; predictive microbiology; QMRA
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MDPI and ACS Style

Tesson, V.; Federighi, M.; Cummins, E.; de Oliveira Mota, J.; Guillou, S.; Boué, G. A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models. Int. J. Environ. Res. Public Health 2020, 17, 688.

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