水中嗜肺军团菌热失活动力学模型研究。

Dynamic modelling of Legionella pneumophila thermal inactivation in water.

机构信息

Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.

Laboratory of Clinical Microbiology and Microbial Pathogenesis, Unit of Water, Food and Environmental Microbiology, School of Medicine, University of Crete, Heraklion, 71110, Greece.

出版信息

Water Res. 2021 Feb 15;190:116743. doi: 10.1016/j.watres.2020.116743. Epub 2020 Dec 11.

DOI:10.1016/j.watres.2020.116743

PMID:33352528

Abstract

A predictive mathematical model describing the effect of temperature on the inactivation of Legionella pneumophila in water was developed. Thermal inactivation of L. pneumophila was monitored under isothermal conditions (51 - 61°C). A primary log-linear model was fitted to the inactivation data and the estimated D values ranged from 0.23 to 25.31 min for water temperatures from 61 to 51°C, respectively. The effect of temperature on L. pneumophila inactivation was described using a secondary model, and the model parameters z value and D (D-value at 55°C) were estimated at 5.54°C and 3.47 min, respectively. The developed model was further validated under dynamic temperature conditions mimicking various conditions of water thermal disinfection in plumbing systems. The results indicated that the model can satisfactorily predict thermal inactivation of the pathogen at dynamic temperature environments and effectively translate water temperature profiles to cell number reduction. The application of the model in combination with effective temperature monitoring could provide the basis of an integrated preventive approach for the effective control of L. pneumophila in plumbing systems.

摘要

开发了一个预测数学模型，用于描述温度对水中嗜肺军团菌失活的影响。在等温条件（51-61°C）下监测嗜肺军团菌的热失活情况。将一级对数线性模型拟合到失活数据中，估计的 D 值范围为 0.23 至 25.31 分钟，水温范围为 61 至 51°C。使用二次模型描述温度对嗜肺军团菌失活的影响，模型参数 z 值和 D（55°C 时的 D 值）分别估计为 5.54°C 和 3.47 分钟。该模型在模拟管道系统中各种水热消毒条件的动态温度条件下进一步验证。结果表明，该模型可以在动态温度环境下很好地预测病原体的热失活，并有效地将水温曲线转换为细胞数量减少。该模型与有效温度监测的结合应用可为综合预防方法提供基础，以有效控制管道系统中的嗜肺军团菌。