Predictive Modeling of Virus Inactivation by UV
Predictive Modeling of Virus Inactivation by UV
复制标题
紫外线灭活病毒的预测模型
DOI：
10.1021/acs.est.0c07814
复制
发表时间：
2021
影响因子：
11.4
通讯作者：
Wigginton, Krista R.
中科院分区：
文献类型：
--
作者：
Rockey, Nicole C.;Henderson, James B.;Chin, Kaitlyn;Raskin, Lutgarde;Wigginton, Krista R.
UV 254消毒策略通常用于杀灭水、食物、空气和表面上的致病性病毒。需要快速预测UV 254灭活病毒的动力学的方法，特别是对于新出现的和难以培养的病毒。我们对各种病毒的灭活速率常数进行了系统的文献综述。利用这些数据和病毒特性，我们开发和评估了预测灭活速率常数的线性和非线性模型。多重线性回归在预测（+）ssRNA和dsDNA病毒的灭活动力学方面表现最佳，交叉验证的均方根相对预测误差与实验速率常数相关的误差相似。我们通过预测和测量（+）ssRNA小鼠冠状病毒和dsDNA海洋噬菌体的灭活速率常数来测试模型;预测的速率常数分别在实验速率常数的7%和71%以内，表明（+）ssRNA病毒的预测比dsDNA病毒更准确。最后，我们应用我们的模型来预测的UV 254速率常数的几种病毒的高质量的UV 254灭活数据是不可用的。我们的模型将是有价值的预测新出现的或难以培养的病毒的灭活动力学。
UV254disinfection strategies are commonly applied to inactivate pathogenic viruses in water, food, air, and on surfaces. There is a need for methods that rapidly predict the kinetics of virus inactivation by UV254, particularly for emerging and difficult-to-culture viruses. We conducted a systematic literature review of inactivation rate constants for a wide range of viruses. Using these data and virus characteristics, we developed and evaluated linear and nonlinear models for predicting inactivation rate constants. Multiple linear regressions performed best for predicting the inactivation kinetics of (+) ssRNA and dsDNA viruses, with cross-validated root mean squared relative prediction errors similar to those associated with experimental rate constants. We tested the models by predicting and measuring inactivation rate constants of a (+) ssRNA mouse coronavirus and a dsDNA marine bacteriophage; the predicted rate constants were within 7% and 71% of the experimental rate constants, respectively, indicating that the prediction was more accurate for the (+) ssRNA virus than the dsDNA virus. Finally, we applied our models to predict the UV254rate constants of several viruses for which high-quality UV254inactivation data are not available. Our models will be valuable for predicting inactivation kinetics of emerging or difficult-to-culture viruses.