Tenenhaus-Aziza Fanny, Daudin Jean-Jacques, Maffre Alexandre, Sanaa Moez
National Veterinary School of Alfort, Maison+Alfort, France.
AgroParisTech, Paris, France.
Risk Anal. 2014 Jan;34(1):56-74. doi: 10.1111/risa.12074. Epub 2013 Jun 18.
According to Codex Alimentarius Commission recommendations, management options applied at the process production level should be based on good hygiene practices, HACCP system, and new risk management metrics such as the food safety objective. To follow this last recommendation, the use of quantitative microbiological risk assessment is an appealing approach to link new risk-based metrics to management options that may be applied by food operators. Through a specific case study, Listeria monocytogenes in soft cheese made from pasteurized milk, the objective of the present article is to practically show how quantitative risk assessment could be used to direct potential intervention strategies at different food processing steps. Based on many assumptions, the model developed estimates the risk of listeriosis at the moment of consumption taking into account the entire manufacturing process and potential sources of contamination. From pasteurization to consumption, the amplification of a primo-contamination event of the milk, the fresh cheese or the process environment is simulated, over time, space, and between products, accounting for the impact of management options, such as hygienic operations and sampling plans. A sensitivity analysis of the model will help orientating data to be collected prioritarily for the improvement and the validation of the model. What-if scenarios were simulated and allowed for the identification of major parameters contributing to the risk of listeriosis and the optimization of preventive and corrective measures.
根据食品法典委员会的建议,在加工生产层面采用的管理方法应基于良好卫生规范、危害分析与关键控制点(HACCP)体系以及诸如食品安全目标等新的风险管理指标。为遵循这一最新建议,运用定量微生物风险评估是一种将基于风险的新指标与食品经营者可能采用的管理方法相联系的有吸引力的途径。通过一个具体案例研究,即巴氏杀菌乳制成的软奶酪中的单核细胞增生李斯特菌,本文的目的是实际展示如何利用定量风险评估来指导不同食品加工步骤中的潜在干预策略。基于诸多假设,所开发的模型在考虑整个制造过程和潜在污染源的情况下,估算食用时患李斯特菌病的风险。从巴氏杀菌到消费,模拟了牛奶、新鲜奶酪或加工环境初次污染事件随时间、空间以及产品间的放大情况,同时考虑了卫生操作和抽样计划等管理方法的影响。对该模型进行敏感性分析将有助于确定为改进和验证模型而应优先收集的数据。模拟了假设分析场景,从而能够识别导致李斯特菌病风险的主要参数,并优化预防和纠正措施。