INRA, Oniris, SECALIM, 44307 Nantes, France.
Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland.
Int J Environ Res Public Health. 2020 Jan 21;17(3):688. doi: 10.3390/ijerph17030688.
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 (EHEC) and 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.
每年在欧洲,由肉引起的食源性疾病达 230 万例,其中牛肉的贡献很高。这些疾病中有许多归因于致病菌污染以及农场到餐桌整个链条中操作不当导致的生长和/或杀菌不充分。为了确保消费者健康,食品安全的决策过程依赖于定量微生物风险评估(QMRA),近几十年来有许多应用。本研究旨在对牛肉 QMRA 进行批判性分析,并确定未来的挑战。采用系统方法,即系统评价和荟萃分析的首选报告项目(PRISMA)指南,来整理牛肉 QMRA 模型,确定考虑到的从农场到餐桌链条的步骤,并分析包括的投入和输出以及建模方法。共收集了 2343 篇文章,其中 67 篇被选中。这些研究主要集中在西方国家,考虑了产志贺样毒素大肠杆菌(EHEC)和 spp. 病原体。确定了未来的挑战,包括需要进行全链条评估、集中数据收集过程以及通过协调提高模型互操作性。本分析可以作为牛肉 QMRA 框架的数据和信息来源,并将有助于科学界和食品安全当局确定具体的监测和研究需求。