4.7 Article

Qualitative and quantitative analysis of the effects of drinking water disinfection processes on eukaryotic microorganisms: A meta-analysis

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CHEMOSPHERE
卷 332, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2023.138839

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Eukaryotic microorganisms; Disinfection; Drinking water; Meta -analysis

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The risk of eukaryotic microorganisms in drinking water treatment has been understated. This study conducted a metaanalysis and found that disinfection processes can significantly reduce the quantity of eukaryotic microorganisms in drinking water. Certain phyla and classes exhibited tolerance and competitive advantage during disinfection, highlighting the persistent risk of eukaryotic microbial contamination even after disinfection, calling for further optimization of current conventional disinfection methods.
The risk of eukaryotic microorganisms in drinking water treatment has not received sufficient attention. As the final step in ensuring drinking water quality, the effectiveness of disinfection in inactivating eukaryotic microorganisms remains to be qualitatively and quantitatively demonstrated. In this study, we conducted a metaanalysis using a mixed effects model and bootstrapping analysis to assess the effects of the disinfection process on eukaryotic microorganisms. The results revealed significant reduction of eukaryotic microorganisms in drinking water associated with the disinfection process. The estimated logarithmic reduction rates for chlorination, ozone, and UV disinfection were 1.74, 1.82 and 2.15 log, respectively, for all eukaryotic microorganisms. Analysis of relative abundance variation of eukaryotic microorganisms also indicated certain phyla and classes exhibited tolerance and competitive advantage during disinfection. This study provides qualitatively and quantitatively analysis on the influence of drinking water disinfection processes on eukaryotic microorganisms, and highlights the persistent risk of eukaryotic microbial contamination in drinking water even after disinfection, calling for further optimization of current conventional disinfection methods.

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