Nebot Sanz E, Salcedo Dávila I, Andrade Balao J A, Quiroga Alonso J M
Department of Chemical Engineering, Food Technologies and Environmental Technologies, Faculty of Marine and Environmental Sciences, University of Cádiz, Cadiz, Spain.
Water Res. 2007 Jul;41(14):3141-51. doi: 10.1016/j.watres.2007.04.008. Epub 2007 May 25.
The increased use of UV radiation as a wastewater treatment technology has stimulated studies of the repair potential of microorganisms following treatment. In this study, samples of unfiltered secondary effluent were irradiated with seven levels of UV-C doses (50-200 mW s/cm(2)) from six low-pressure lamps in an open-channel UV disinfection system. Following irradiation, samples were incubated at 20 degrees C under photoreactivating light or in darkness. Samples were analysed for 240 min following incubation. The logistic model is proposed to explain the relation between photoreactivation and the UV-C dose received by the microorganisms. That model accurately fitted the data obtained in photoreactivation experiments, permitting interpretation of the estimated kinetic parameters: S(m) and k(2). In the experiments carried out in darkness, a slight reactivation is observed (<0.1%), followed by a decay period in which survival decreases. In order to model this last period, a modification was made to the logistic model by including a term of mortality that assumes a zero-order kinetic. The parameters S(m) and k(2), in both photoreactivation and darkness, show an exponential dependence on the UV-C inactivating dose. It is possible to predict their values, and hence the reactivation curve, from the equations proposed in this work.
紫外线辐射作为一种废水处理技术,其使用的增加激发了对处理后微生物修复潜力的研究。在本研究中,未过滤的二级出水样本在开放渠道紫外线消毒系统中,接受来自六个低压灯的七个紫外线-C剂量水平(50 - 200 mW s/cm(2))的照射。照射后,样本在20摄氏度下于光修复光下或黑暗中孵育。孵育后对样本进行240分钟的分析。提出了逻辑模型来解释光修复与微生物接受的紫外线-C剂量之间的关系。该模型准确拟合了光修复实验中获得的数据,从而可以解释估计的动力学参数:S(m)和k(2)。在黑暗中进行的实验中,观察到轻微的再激活(<0.1%),随后是一个存活下降的衰退期。为了对这最后一个时期进行建模,对逻辑模型进行了修改,加入了一个假设为零级动力学的死亡率项。在光修复和黑暗条件下,参数S(m)和k(2)均显示出对紫外线-C灭活剂量的指数依赖性。根据本研究提出的方程,可以预测它们的值,进而预测再激活曲线。