用于AMR风险评估的概率MIC建模
Alba Puente Baños1, Constantine-Richard Stefanou2, Leonardos Stathas2
1Department of Food Hygiene and Technology Universidad de León León Spain.
EFSA journal. European Food Safety Authority
|December 17, 2025
概括
在食物传播病原体中抗生素耐药性的概率模型提供了比传统方法更准确的风险评估. 这种方法解释了个体细菌细胞的变异性,改善了在食物链中打击抗菌素耐药性 (AMR) 的策略.
科学领域:
- 食品安全和微生物学
- 定量风险评估 定量风险评估
- 抗微生物耐药性 (AMR) 是一种
背景情况:
- 传统的最小抑制度 (MIC) 测试由于个体之间的细菌变异性而缺乏准确性.
- 食品传播病原体的抗菌素耐药性 (AMR) 对公众健康构成重大威胁.
- 可能性的MIC建模为了解AMR动态提供了更现实的方法.
研究的目的:
- 为抗微生物药物耐药性食品传播病原体开发概率定量微生物风险评估 (QMRA).
- 将单个细菌细胞MIC的变异性纳入QMRA.
- 加强对食品中的AMR风险估计.
主要方法:
- 收集了关于Listeria monocytogenes在即食 (RTE) 煮熟的火腿中的数据.
- 进行了AMPIC林的MIC评估实验,使用盘数阿加法.
- 使用蒙特卡洛分析和R编程语言构建QMRA模型.
主要成果:
- 在煮熟的火腿份中生成了1000个模拟剂量的L. monocytogenes.
- 确定每次模拟剂量安培单细胞MIC值的最大值和第95百分位数.
- 进行了灵敏度分析以评估模型的稳定性.
结论:
- 可能性的MIC建模提供了更准确的QMRA对食品传播病原体的AMR.
- 这种方法可以为针对性策略提供信息,以打击食品链中的AMR.
- 该研究强调了在风险评估中考虑细菌变异性的重要性.
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