New York University, Tandon School of Engineering, Department of Civil & Urban Engineering, Brooklyn, NY, 11201, USA; New York University, College of Global Public Health, New York, NY, 10003, USA.
New York University, Tandon School of Engineering, Department of Civil & Urban Engineering, Brooklyn, NY, 11201, USA.
Water Res. 2019 Mar 15;151:439-446. doi: 10.1016/j.watres.2018.12.015. Epub 2018 Dec 19.
Sunlight inactivation is important for disinfection of viruses in sunlit waters. As such, attempts have been made to predict the endogenous photoinactivation rate of bacteriophage MS2 using biological weighting functions, which describe microorganism sensitivity to sunlight inactivation as a function of wavelength. In this study, four biological weighting function models were compared to assess their ability to predict endogenous inactivation rates (k) of MS2. Previously-published and newly-collected datasets consisting of an incident irradiance spectrum (used as an input to the model) and a measured inactivation rate (k) were used for model validation and comparison. k values predicted by each model were compared with measured k to evaluate the ability of each biological weighting function to predict endogenous sunlight inactivation rates. A model previously developed by Mattle et al. (Env. Sci. Technol. 49, 334-342) over-predicted inactivation rates, whereas the other three models - a model from Fisher et al. (Env. Sci. Technol. 45, 9249-9255), a new model developed in this study, and a modification of the model by Mattle et al. (developed as part of this study) - were better able to estimate inactivation rates. The biological relevance of the spectral shape of each biological weighting function is discussed.
阳光失活对于阳光充足的水中病毒的消毒非常重要。因此，人们试图使用生物加权函数来预测噬菌体 MS2 的内源性光灭活率，生物加权函数描述了微生物对阳光灭活的敏感性随波长的变化。在这项研究中，比较了四种生物加权函数模型，以评估它们预测 MS2 内源性灭活率（k）的能力。先前发表和新收集的数据集包括入射辐照度光谱（用作模型的输入）和测量的灭活率（k），用于模型验证和比较。比较了每个模型预测的 k 值与实测的 k 值，以评估每个生物加权函数预测内源阳光灭活率的能力。Mattle 等人开发的模型（Environ. Sci. Technol. 49, 334-342）高估了灭活率，而其他三个模型——Fisher 等人的模型（Environ. Sci. Technol. 45, 9249-9255）、本研究中开发的新模型以及 Mattle 等人的模型的修改版（作为本研究的一部分开发）——能够更好地估计灭活率。讨论了每个生物加权函数光谱形状的生物学相关性。
