2021
DOI: 10.1021/acs.est.1c02121
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Mapping the Terrain for Pathogen Persistence and Proliferation in Non-potable Reuse Distribution Systems: Interactive Effects of Biofiltration, Disinfection, and Water Age

Abstract: Diverse pathogens can potentially persist and proliferate in reclaimed water distribution systems (RWDSs). The goal of this study was to evaluate interactive effects of reclaimed water treatments and water age on persistence and proliferation of multiple fecal (e.g., Klebsiella, Enterobacter) and non-fecal (e.g., Legionella, mycobacteria) gene markers in RWDSs. Six laboratory-scale RWDSs were operated in parallel receiving the influent with or without biologically active carbon (BAC) filtration + chlorination,… Show more

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Cited by 6 publications
(12 citation statements)
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“…However, without BAC filtration, disinfectants were actually detrimental to pathogen control, with the highest levels of FP markers observed in the chlorinated condition followed by the chloraminated condition in bulk water (Figure ). This was consistent with prior studies of these systems that noted elevated pathogens and ARGs, including clinically relevant and mobile ARGs, when unfiltered water was chlorinated. , …”
Section: Discussionsupporting
confidence: 90%
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“…However, without BAC filtration, disinfectants were actually detrimental to pathogen control, with the highest levels of FP markers observed in the chlorinated condition followed by the chloraminated condition in bulk water (Figure ). This was consistent with prior studies of these systems that noted elevated pathogens and ARGs, including clinically relevant and mobile ARGs, when unfiltered water was chlorinated. , …”
Section: Discussionsupporting
confidence: 90%
“…Detailed methods for quantification of FPs and non-FPs of interest (Supporting Information Table S2) are available in GitHub (Sudeshna-Ghosh/pathogen-fluctuations). The in-house metagenome-derived pathogen quantification pipeline based on UniRef90 gene-family annotation was described in detail by Ghosh et al 2021 . Here, we used the HUMAnN3 pipeline for UniRef90 gene-family annotation along with the “Unique to genus” database in the GitHub repository.…”
Section: Methodsmentioning
confidence: 99%
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