走向更安全的水果和蔬菜产品:通过非热高压加工对植物病原体无活化的全球元回归建模
Berta Torrents-Masoliver1, Cristina Serra-Castelló1, Anna Jofré1
1IRTA, Food Safety and Functionality, Finca Camps i Armet s/n, 17121 Monells, Spain.
Food research international (Ottawa, Ont.)
|August 12, 2025
概括
高压加工 (HPP) 有效地使水果和蔬菜中的食物传播病原体如大肠杆菌,沙门氏菌和李斯特菌无活化. 一个经过验证的预测模型有助于优化食品安全和监管合规性HPP参数.
科学领域:
- 食品科学与技术 食品科学与技术
- 微生物学 微生物学
- 食品工程 食品工程
背景情况:
- 高压加工 (HPP) 是一种非热方法 (<45°C),用于食品中的微生物无活化.
- 关键的食源性病原体,如大肠杆菌,沙门氏菌和李斯特菌是水果和蔬菜产品中无活化的目标.
研究的目的:
- 用HPP处理的水果和蔬菜中对大肠杆菌,沙门氏菌和李斯特菌的不活化数据进行元分析.
- 在HPP条件下开发和验证一个预测模型来估计微生物无活化.
- 评估模型对风险评估和为食品安全设定HPP参数的有用性.
主要方法:
- 广泛的文献搜索以确定相关研究,提取1633日志减少值.
- 估计Dp (减少1日志的时间) 和5Dp (减少5日志的时间) 值,考虑失活动力学.
- 开发一个Bigelow类型的回归模型,将压力,产品pH值和微生物作为因素.
- 模型的验证使用1126个独立的Log减小数据点.
主要成果:
- 压力和产品pH值类别是重要的因素,解释了91%-93%的数据变化.
- 开发的模型准确地预测了微生物无活化,故障危险预测率低 (大肠杆菌为20%,沙门氏菌为6%,L. monocytogenes为10%).
- 根据产品的酸度,需要5日志的减少时间有所不同:低酸性产品最长19分钟,酸性产品最长3分钟,高酸性产品最长1.5分钟.
结论:
- 经过验证的预测模型作为风险评估和对HPP参数进行基准测试的保守工具.
- 该模型可以帮助利益相关者制定适当的HPP条件,以确保食品安全并满足监管要求.
- 建议整合该模型的决策支持系统原型,以帮助对水果和蔬菜产品的HPP验证.
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