Salcedo I, Andrade J A, Quiroga J M, Nebot E
Department of Chemical Engineering, Food Technologies and Environmental Technologies, Universidad de Cádiz, Facultad de Ciencias del Mar y Ambientales, 11510 Puerto Real, Spain.
Appl Environ Microbiol. 2007 Mar;73(5):1594-600. doi: 10.1128/AEM.02145-06. Epub 2007 Jan 5.
Because of the lack of readily available information about the influence of temperature on microorganism reactivation processes subsequent to inactivation with UV radiation, a series of batch reactivation studies were performed at 5, 10, 15, 20, 25, and 30 degrees C. A special effort was made to model the reactivation process to enable the effect of the temperature variable to be quantified. Because an earlier-proposed kinetic model (K. Kashimada, N. Kamiko, K. Yamamoto, and S. Ohgaki, Water Sci. Technol. 33:261-269, 1996), a first-order saturation type, does not adequately fit the data obtained in experiments of reactivation in conditions of light and darkness, a modification of that model is proposed. The new model, which actually coincides with the classical logistic equation, incorporates two kinetic parameters: the maximum survival ratio (Sm) and the second-order reactivation rate constant (k2). In order to interpret correctly the reactivation occurring in conditions of darkness, a new term for the decay is added to the logistic equation. The new model accurately fits the data obtained in reactivation experiments, permitting the interpretation of the kinetic parameters Sm, k2, and M (for only repair in darkness), where M is mortality, a zero-order decay rate constant, and their relationship with various environmental conditions, such as microbial type, light, and temperature. The parameters Sm and k2 (and M for reactivation in conditions of darkness) show exponential dependence on the reactivating temperature, and it is possible to predict their values and hence the reactivation curve from the equations proposed in this work.
由于缺乏关于温度对紫外线辐射灭活后微生物复活过程影响的现成信息,因此在5、10、15、20、25和30摄氏度下进行了一系列分批复活研究。特别努力对复活过程进行建模,以便能够量化温度变量的影响。由于先前提出的动力学模型(K. Kashimada、N. Kamiko、K. Yamamoto和S. Ohgaki,《水科学与技术》33:261 - 269,1996),即一阶饱和型,不能充分拟合在光照和黑暗条件下复活实验中获得的数据,因此提出了对该模型的修正。新模型实际上与经典逻辑方程一致,包含两个动力学参数:最大存活率(Sm)和二级复活速率常数(k2)。为了正确解释在黑暗条件下发生的复活,在逻辑方程中添加了一个新的衰减项。新模型准确地拟合了复活实验中获得的数据,允许解释动力学参数Sm、k2和M(仅适用于黑暗中的修复),其中M是死亡率,即零级衰减速率常数,以及它们与各种环境条件,如微生物类型、光照和温度的关系。参数Sm和k2(以及黑暗条件下复活的M)对复活温度呈指数依赖性,并且可以根据本文提出的方程预测它们的值,从而预测复活曲线。