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A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models

Author

Listed:
  • Vincent Tesson

    (INRA, Oniris, SECALIM, 44307 Nantes, France
    Current address: INRAE, Oniris, SECALIM, 44307 Nantes, France.)

  • Michel Federighi

    (INRA, Oniris, SECALIM, 44307 Nantes, France)

  • Enda Cummins

    (Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland)

  • Juliana de Oliveira Mota

    (INRA, Oniris, SECALIM, 44307 Nantes, France)

  • Sandrine Guillou

    (INRA, Oniris, SECALIM, 44307 Nantes, France
    Current address: INRAE, Oniris, SECALIM, 44307 Nantes, France.)

  • Géraldine Boué

    (INRA, Oniris, SECALIM, 44307 Nantes, France)

Abstract

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.

Suggested Citation

  • Vincent Tesson & Michel Federighi & Enda Cummins & Juliana de Oliveira Mota & Sandrine Guillou & Géraldine Boué, 2020. "A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models," IJERPH, MDPI, vol. 17(3), pages 1-28, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:688-:d:311532
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    References listed on IDEAS

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    Cited by:

    1. Ewen Todd, 2020. "Food-Borne Disease Prevention and Risk Assessment," IJERPH, MDPI, vol. 17(14), pages 1-13, July.
    2. André Ndereyimana & Michela Contò & Antonella Chiariotti & Gianluca Renzi & Sebastiana Failla, 2024. "Beef Carcasses Aged at Mild Temperature to Improve Sustainability of Meat Production," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    3. Alessia Tropea, 2022. "Microbial Contamination and Public Health: An Overview," IJERPH, MDPI, vol. 19(12), pages 1-5, June.

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