婴儿食品中微生物危害的系统风险排名
Kah Yen Claire Yeak1, Alberto Garre2, Jeanne-Marie Membré3
1Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands.
Food research international (Ottawa, Ont.)
|August 15, 2024
概括
本研究引入了一个风险排名框架,以优先考虑婴儿食品中的微生物危害. 开发的系统Mira-DSS有助于有效地分配资源,以提高弱势群体的食品安全.
科学领域:
- 食品安全和微生物学
- 风险评估和风险管理
- 决策支持系统 决策支持系统
背景情况:
- 确保婴儿和幼儿的食品安全需要识别和优先考虑微生物危害 (MHs).
- 一个以前的基于网络的决策支持系统 (DSS) 在婴幼儿食品中发现了 MH.
- 本研究通过将 MHs 的系统风险排名 (RR) 纳入该框架,扩展了该框架.
研究的目的:
- 开发和验证婴儿食品中微生物危害 (MHs) 的系统风险排名 (RR) 框架.
- 将三种汇总方法用于MH风险计算进行比较:半定量风险评分,风险值和多标准决策分析 (MCDA).
- 为了将验证的框架实施到在线决策支持工具中,Mira-DSS.
主要方法:
- 采用系统风险排名 (RR) 方法,使用七个标准:过程生存,再污染,生长机会,食,危险食品相关证据,欧盟婴儿消费习惯和MH严重程度.
- 用三种聚合方法 (风险评分,风险值,MCDA) 来计算MH风险.
- 一个关于婴儿配方奶粉的案例研究对 MH 进行了排名,结果与方法进行了比较,并与专家意见进行了验证.
主要成果:
- 这三种风险排名方法都显示出强烈的一致性,一致地确定了非Typhi的沙门氏菌,Cronobacter spp.和产生Shiga毒素的大肠杆菌作为婴儿配方奶粉中最大的MH风险.
- 风险值和MCDA方法提供了比风险评分方法更具信息性的排名.
- 开发了Mira-DSS在线工具,结合了风险价值和风险评分方法.
结论:
- 开发的框架有效地对婴儿食品中的微生物危害 (MHs) 进行了排名,有助于针对性干预和资源分配.
- 风险排名方法和选择的标准是可靠的,可能适用于其他食品类别.
- 米拉-DSS为增强弱势群体的食品安全提供了一种有价值的工具.
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