一个定量风险评估模型,用于Listeria monocytogenes在即食香中
Laurent Guillier1, Ursula Gonzales-Barron2, Régis Pouillot3
1Risk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (Anses), 14 rue Pierre et Marie Curie, 94700 Maisons-Alfort, France.
Foods (Basel, Switzerland)
|July 12, 2025
概括
一个新的农场到叉口的定量风险评估 (QRA) 模型,用于从西瓜的菌病,表明良好的做法将风险降到最低. 关键控制点包括灌,加工和消费者储存,突出干预的领域.
科学领域:
- 食品安全 食品安全
- 微生物学 微生物学
- 风险评估 风险评估
背景情况:
- 准备食用的 (RTE) 产品构成食物传播疾病的风险,如菌病.
- 定量风险评估 (QRA) 模型对于评估和减轻食品安全危害至关重要.
研究的目的:
- 开发和应用一个全面的农场到叉口的QRA模型,用于通过RTE切片的西瓜传播的侵入性李斯特菌病.
- 为了确定供应链中的关键控制点 (CCP),这些关键控制点会对菌病风险产生重大影响.
主要方法:
- 开发了一个模块化,七阶段的QRA模型,包括收获前,收获,加工,运输和消费者处理.
- 使用随机函数和已发表的数据来模拟每个阶段的微生物 (Listeria) 流行率和度变化.
- 分析了"假如"情景,以评估不同控制措施和污染事件的影响.
主要成果:
- 在最佳条件下 (良好的农业实践,卫生处理,冷藏),该模型预测了低污染水平和每份平均风险非常低.
- 缺少土壤障碍与收获前灌增加了1万倍的风险.
- 污染排水和消费者储存不良被确定为重大风险因素,风险增加了多达500倍.
结论:
- 开发的QRA模型提供了一种灵活的框架,用于评估RTE切割的李斯特菌病风险.
- 专注于农业实践,加工卫生和消费者指导的干预措施对于降低风险至关重要.
- 该模型可以帮助监管机构和行业优化食品安全战略和有针对性的干预措施.
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