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Photoreactivation and Dark Repair in UV-Treated Microorganisms: Effect of Temperature

机译:紫外线处理过的微生物中的光活化和暗修复:温度的影响

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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°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.
机译:由于缺少有关温度对紫外线辐射灭活后微生物再活化过程影响的现成信息,因此在5、10、15、20、25和30°C下进行了一系列批量再活化研究。进行了特别的工作以对再活化过程进行建模,以使温度变量的影响得以量化。因为较早提出的动力学模型(一阶饱和类型)(K. Kashimada,N. Kamiko,K. Yamamoto和S. Ohgaki,Water Sci。Technol。33:261-269,1996)不能完全拟合根据在明暗条件下重新激活实验获得的数据,提出对该模型进行修改。新模型实际上与经典逻辑方程式相吻合,它包含两个动力学参数:最大存活率(Sm)和二级活化率常数(k2)。为了正确解释在黑暗条件下发生的重新激活,将衰减的新项添加到逻辑方程。新模型准确地拟合了在重新激活实验中获得的数据,从而可以解释动力学参数Sm,k2和M(仅适用于黑暗中的修复),其中M为死亡率,零级衰减率常数及其与各种环境条件,例如微生物类型,光照和温度。参数Sm和k2(以及用于在黑暗条件下重新激活的参数M)显示出与重新激活温度成指数关系,因此可以从这项工作中提出的方程式预测它们的值,从而预测重新激活曲线。

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