应用先进的预测微生物学技术对静态和动态生长研究的Listeria monocytogenes
Patrizia Centorame1, Luigi Iannetti1, Francesco Pomilio1
1Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale" Teramo Italy.
EFSA journal. European Food Safety Authority
|December 23, 2024
概括
该项目增强了欧洲在预测微生物学方面的专业知识,以控制即食食品中的Listeria monocytogenes. 它开发了模型来预测动态温度下的病原体生长,提高了食品安全.
科学领域:
- 食品微生物学 食品微生物学
- 预测建模的预测建模.
- 食品安全科学 食品安全科学
背景情况:
- 李斯特菌在即食 (RTE) 食品中构成重大风险.
- 准确的保质期研究对于减轻这种风险至关重要.
- 现有的预测模型在动态温度条件下往往缺乏验证.
研究的目的:
- 推进欧洲在应用预测微生物学方面的专业知识,以研究Listeria monocytogenes在RTE产品的保质期.
- 增强参与组织在预测微生物学技术方面的能力.
- 加强欧洲管理和减轻L. monocytogenes.风险的能力.
主要方法:
- 进行了实验试验,研究在恒定和动态温度条件下L. monocytogenes的生长.
- 现有的初级生长模型被调整为恒温数据.
- 然后,这些模型被用来预测波动温度场景下的病原体生长.
主要成果:
- 该研究成功地应用了预测模型来预测L. monocytogenes在动态温度条件下的生长.
- 现有的模型在适应波动的温度环境时显示出实用性.
- 这项研究为在动态环境中建模病原体生长提供了新的见解.
结论:
- 该项目增强了对L. monocytogenes保质期评估的实验和预测技术的合作专业知识.
- 开发的预测模型为RTE产品的食品安全管理提供了有价值的工具.
- 持续的合作将进一步协调和推进这些关键的食品安全方法.
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