一个基于网络的婴儿食品微生物危害识别工具
Kah Yen Claire Yeak1, Alexander Dank1, Heidy M W den Besten1
1Food Microbiology, Wageningen University & Research, Wageningen, The Netherlands.
Food research international (Ottawa, Ont.)
|February 3, 2024
概括
一个新的在线工具,微生物危害识别 (MiID) 决策支持系统 (DSS),系统地识别婴儿食品中的微生物危害. 该工具帮助食品安全专家进行危险分析和风险评估,以确保婴儿食品链更安全.
科学领域:
- 食品微生物学 食品微生物学
- 食品安全 食品安全
- 风险评估 风险评估
背景情况:
- 确保婴儿食品链中的微生物安全对于公共健康至关重要.
- 现有的危险识别方法可能不一致,有可能忽视或不相关的微生物危险 (MHs).
研究的目的:
- 开发和验证一个系统的程序和决策支持系统 (DSS) 来识别婴儿食品中的 MHs.
- 为食品安全专业人员创建一个可访问的在线工具,即微生物危害识别 (MiID) DSS.
主要方法:
- 开发了一个五步系统的程序:危险食品配对,失活效率,再污染潜力,增长机会和危险食品关联.
- 这些步骤被集成到MiID DSS中,这是一个通过Web应用程序访问的在线工具.
- 使用四项婴儿食品案例研究验证了MiID DSS:婴儿配方奶粉,水果泥,谷物食品和新鲜水果.
主要成果:
- MiID DSS 始终在测试的婴儿食品中确定了主要的 MH.
- 验证结果表明,MiID DSS的发现与专家评估之间存在很强的一致性.
- 该工具有效地在HACCP和风险评估框架内结构化了最初的危险识别步骤.
结论:
- 该MiID DSS提供了一个结构化,文档化和有效的方法来识别婴儿食品链中的MH.
- 这种工具有助于平衡相关的 MHs 的识别,同时尽量减少不相关的 MHs.
- MiID DSS有可能在未来扩展,包括新数据和适应一般食品产品.
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