菌株特异性生长参数对于在模拟模型中准确模拟婴儿菜上的细菌生长非常重要
Sriya Sunil1, Sarah I Murphy2, Renato H Orsi1
1Department of Food Science, Cornell University, Ithaca, NY 14853, USA.
Journal of food protection
|March 29, 2024
概括
开发产品保质期的预测模型对于减少食物浪费至关重要. 这项研究模拟了婴儿菜上的细菌生长,发现当前的模型低估了微生物繁殖,突出了需要更多数据的需求.
科学领域:
- 食品科学 食品科学 食品科学
- 微生物学 微生物学
- 计算生物学 计算生物学
背景情况:
- 预测产品保质期的数字工具可以显著减少食物浪费,提高消费者满意度.
- 了解像婴儿菜这样的绿叶蔬菜上的微生物动态对于准确的保质期预测至关重要.
- 现有的模型往往缺乏菌株特定的参数,限制了它们的预测准确性.
研究的目的:
- 在婴儿菜上开发细菌生长的初始模拟模型.
- 确定婴儿菜上占主导地位的细菌属,并描述它们的生长参数.
- 评估模拟模型的准确性,并确定需要改进的领域.
主要方法:
- 对婴儿菜微生物质量的观察性研究.
- 使用代表性菌株的瑞芬素耐药突变体 (rifR突变体) 进行细菌生长实验.
- 使用观测和文献数据开发和验证一种细菌生长模拟模型.
主要成果:
- 在婴儿菜上占主导地位的属被确定为Pseudomonas,Pantoea和Exiguobacterium.
- 在不影响细菌健康的情况下产生rifR突变的困难,15种突变中的9种突变显示出生长差异.
- 模拟模型,即使有菌株特定数据,也低估了婴儿菜上的细菌生长 (RMSE为1.11 log10 CFU/g).
结论:
- 目前用于预测叶菜上的细菌生长的模型需要通过更全面的菌株特定数据来改进.
- 关键参数,如菌株最大种群,显著影响模型的准确性,指导未来的研究工作.
- 需要进一步收集数据,以提高数字工具用于产品保质期预测的可靠性.
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