开放获取Bacillus cereus 尾酒二次增长模型用于食品工业
Xiaoyang Tang1,2, Dingwu Zhang1,2, Pradeep K Malakar3,4
1Central Research Institute, Masterkong Holding, Shanghai 201103, China.
Foods (Basel, Switzerland)
|November 9, 2024
概括
一个新的,具有成本效益的算法创建了一个在食品制造中用于Bacillus cereus (B. cereus) 的开放式,扩展范围的二次生长模型. 该模型增强了新型食品中B. cereus的风险评估.
科学领域:
- 食品微生物学 食品微生物学
- 计算建模计算建模
- 食品安全 食品安全
背景情况:
- 谷菌 (B. cereus) 在食品制造中构成重大危险.
- 现有的生长模式往往缺乏涵盖各种加工条件的扩展范围.
- 准确的风险评估对于具有非传统配方的新食品类别至关重要.
研究的目的:
- 为B. cereus.开发一个具有成本效益的,开放的,扩展范围的二次生长模型.
- 为提供一种工具,以更精确地估计各种食品中的B. cereus风险.
- 调整该方法来建模其他食源性病原体.
主要方法:
- 利用B. cereus菌株尾酒增长率的虚拟数据集.
- 为二次增长建模开发了一种具有成本效益的算法.
- 利用公开可用的数据来创建模型.
主要成果:
- 成功开发了B. cereus的开放式,扩展范围的二次生长模型.
- 该模型可以跨越典型的食品制造加工条件.
- 该方法适用于其他病原体生长建模.
结论:
- 开发的模型有助于管理新食品中的B. cereus危害.
- 为了更广泛的应用,需要与生产设施隔离物进行验证.
- 经过验证的模型可以集成到病原体决策支持平台中,以有效地降低风险.
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