Laboratory of Environmental Chemistry, School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Department of Urban Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
Laboratory of Environmental Chemistry, School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Water Res. 2022 Jul 15;220:118712. doi: 10.1016/j.watres.2022.118712. Epub 2022 Jun 4.
Inactivation kinetics of enterovirus by disinfection is often studied using a single laboratory strain of a given genotype. Environmental variants of enterovirus are genetically distinct from the corresponding laboratory strain, yet it is poorly understood how these genetic differences affect inactivation. Here we evaluated the inactivation kinetics of nine coxsackievirus B3 (CVB3), ten coxsackievirus B4 (CVB4), and two echovirus 11 (E11) variants by free chlorine and ultraviolet irradiation (UV). The inactivation kinetics by free chlorine were genotype- (i.e., susceptibility: CVB5 < CVB3 ≈ CVB4 < E11) and genogroup-dependent and exhibited up to 15-fold difference among the tested viruses. In contrast, only minor (up to 1.3-fold) differences were observed in the UV inactivation kinetics. The differences in variability between the two disinfectants could be rationalized by their respective inactivation mechanisms: inactivation by UV mainly depends on the genomic size and composition, which was similar for all viruses tested, whereas free chlorine targets the viral capsid protein, which exhibited critical differences between genogroups and genotypes. Finally, we integrated the observed variability in inactivation rate constants into an expanded Chick-Watson model to estimate the overall inactivation of an enterovirus consortium. The results highlight that the distribution of inactivation rate constants and the abundance of each genotype are essential parameters to accurately predict the overall inactivation of an enterovirus population by free chlorine. We conclude that predictions based on inactivation data of a single variant or reference pathogen alone likely overestimate the true disinfection efficiency of free chlorine.
在消毒过程中,通过研究给定基因型的单一实验室株,通常可以研究肠道病毒的失活动力学。肠道病毒的环境变异体在遗传上与相应的实验室株不同,但尚不清楚这些遗传差异如何影响失活。在这里,我们通过自由氯和紫外线照射(UV)评估了九株柯萨奇病毒 B3(CVB3)、十株柯萨奇病毒 B4(CVB4)和两株埃可病毒 11(E11)变体的失活动力学。自由氯的失活动力学取决于基因型(即易感性:CVB5 < CVB3 ≈ CVB4 < E11)和基因群依赖性,并且在测试的病毒之间表现出高达 15 倍的差异。相比之下,在 UV 失活动力学中仅观察到较小的(高达 1.3 倍)差异。两种消毒剂之间的变异性差异可以通过其各自的灭活机制来合理化:UV 灭活主要取决于基因组大小和组成,这对于所有测试的病毒都是相似的,而自由氯则针对病毒衣壳蛋白,这在基因群和基因型之间表现出关键差异。最后,我们将观察到的失活动力学速率常数的可变性整合到扩展的 Chick-Watson 模型中,以估计肠道病毒联合体的整体失活。结果表明,失活动力学速率常数的分布和每个基因型的丰度是准确预测肠道病毒群体通过自由氯整体失活的重要参数。我们得出结论,仅基于单一变体或参考病原体的失活数据进行预测,可能会高估自由氯的真实消毒效率。