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在生长区域内和跨越生长边界模拟突然的酸和渗透变化对李斯特菌适应和生长的影响。

Modeling the effect of abrupt acid and osmotic shifts within the growth region and across growth boundaries on adaptation and growth of Listeria monocytogenes.

机构信息

Institute of Food Research, Norwich Research Park, Norwich, United Kingdom.

出版信息

Appl Environ Microbiol. 2010 Oct;76(19):6555-63. doi: 10.1128/AEM.00847-10. Epub 2010 Jul 30.

DOI:10.1128/AEM.00847-10
PMID:20675449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2950460/
Abstract

This study aims to model the effects of acid and osmotic shifts on the intermediate lag time of Listeria monocytogenes at 10°C in a growth medium. The model was developed from data from a previous study (C. I. A. Belessi, Y. Le Marc, S. I. Merkouri, A. S. Gounadaki, S. Schvartzman, K. Jordan, E. H. Drosinos, and P. N. Skandamis, submitted for publication) on the effects of osmotic and pH shifts on the kinetics of L. monocytogenes. The predictive ability of the model was assessed on new data in milk. The effects of shifts were modeled through the dependence of the parameter h(0) ("work to be done" prior to growth) induced on the magnitude of the shift and/or the stringency of the new environmental conditions. For shifts across the boundary, the lag time was found to be affected by the length of time for which the microorganisms were kept at growth-inhibiting conditions. The predicted concentrations of L. monocytogenes in milk were overestimated when the effects of this shift were not taken into account. The model proved to be suitable to describe the effects of osmotic and acid shifts observed both within the growth domain and across the growth boundaries of L. monocytogenes.

摘要

本研究旨在模拟酸和渗透胁迫对 10°C 生长培养基中单核细胞增生李斯特菌中间延迟期的影响。该模型是根据先前研究(C. I. A. Belessi、Y. Le Marc、S. I. Merkouri、A. S. Gounadaki、S. Schvartzman、K. Jordan、E. H. Drosinos 和 P. N. Skandamis,提交出版)中关于渗透压和 pH 值变化对单核细胞增生李斯特菌动力学影响的数据开发的。该模型在牛奶中的新数据上评估了其预测能力。通过依赖于诱导参数 h(0)(生长前的“工作量”)与胁迫幅度和/或新环境条件的严格程度之间的关系,对胁迫的影响进行建模。对于跨越边界的胁迫,发现延迟时间受到微生物在生长抑制条件下保持的时间长度的影响。当未考虑到这种变化的影响时,牛奶中单核细胞增生李斯特菌的预测浓度被高估。该模型被证明适用于描述在单核细胞增生李斯特菌的生长域内和跨越生长边界时观察到的渗透压和酸胁迫的影响。

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