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Elucidating sulfate radical-mediated disinfection profiles and mechanisms of Escherichia coli and Enterococcus faecalis in municipal wastewater

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  • Ruiyang Xiao, Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution
  • ,
  • Lu Bai, Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution
  • ,
  • Kai Liu, Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution
  • ,
  • Yan Shi, Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution
  • ,
  • Daisuke Minakata, Michigan Technological University
  • ,
  • Ching Hua Huang, Georgia Institute of Technology
  • ,
  • Richard Spinney, The Ohio State University
  • ,
  • Rajesh Seth, University of Windsor
  • ,
  • Dionysios D. Dionysiou, University of Cincinnati
  • ,
  • Zongsu Wei
  • Peizhe Sun, Tianjin University

Practical applications of disinfection technologies for engineered waters require an in‒depth understanding of disinfection profiles and mechanisms of pathogenic bacteria in a complex matrix. This study investigated the inactivation of E. coli and E. faecalis by SO4 •−, an emerging advanced disinfectant, in ultrapure water (UPW) and wastewater effluent (WE). Based on the bacterial inactivation kinetics in UPW in a zerovalent iron/peroxydisulfate system, the second order rate constants (k) for SO4 •− reacting with E. coli and E. faecalis were measured to be (1.39 ± 0.1) × 109 M−1 s−1 and (6.71 ± 0.1) × 109 M−1 s−1, respectively. The morphological images of both bacteria by the scanning electron microscope indicated that SO4 •− initiates oxidative reactions on the wall/membranes, causing their irreversible damage, ultimately affecting membrane permeability and physiological functions. To profile the inactivation kinetics of two strains of bacteria in WE matrix, a mechanistic process‒based model with the obtained k values was developed. Sensitivity and uncertainty analyses indicated that the key parameters for the model predictions were the concentrations of halide ions (i.e., Br and Cl) in WE and their k values reacting with SO4 •− accounting for >80% of uncertainty or variance expected in predicted bacterial inactivation. This model allows precise estimation of required disinfectant dose even in complex water matrices, shedding lights on the extension of application of SO4 •−‒based technology in wastewater treatments.

OriginalsprogEngelsk
Artikelnummer115552
TidsskriftWater Research
Vol/bind173
ISSN0043-1354
DOI
StatusUdgivet - 15 apr. 2020

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