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Application of Nucleotide-Based Kinetic Modeling Approaches to Predict Antibiotic Resistance Gene Degradation during UV- and Chlorine-Based Wastewater Disinfection Processes: From Bench- to Full-Scale.
He, Huan; Choi, Yegyun; Wu, Sean J; Fang, Xuzhi; Anderson, Annika K; Liou, Sin-Yi; Roberts, Marilyn C; Lee, Yunho; Dodd, Michael C.
Afiliación
  • He H; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98195, United States.
  • Choi Y; School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
  • Wu SJ; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98195, United States.
  • Fang X; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98195, United States.
  • Anderson AK; Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Liou SY; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98195, United States.
  • Roberts MC; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105, United States.
  • Lee Y; School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
  • Dodd MC; Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98195, United States.
Environ Sci Technol ; 56(21): 15141-15155, 2022 11 01.
Article en En | MEDLINE | ID: mdl-36098629
This study investigated antibiotic resistance gene (ARG) degradation kinetics in wastewaters during bench- and full-scale treatment with UV light and chlorine─with the latter maintained as free available chlorine (FAC) in low-ammonia wastewater and converted into monochloramine (NH2Cl) in high-ammonia wastewater. Twenty-three 142-1509 bp segments (i.e., amplicons) of seven ARGs (blt, mecA, vanA, tet(A), ampC, blaNDM, blaKPC) and the 16S rRNA gene from antibiotic resistant bacteria (ARB) strains Bacillus subtilis, Staphylococcus aureus, Enterococcus faecium, Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae were monitored as disinfection targets by qPCR. Rate constants for ARG and 16S rRNA gene amplicon degradation by UV, FAC, and NH2Cl were measured in phosphate buffer and used to expand and validate several recently developed approaches to predict DNA segment degradation rate constants based solely on their nucleotide contents, which were then applied to model ARG degradation during bench-scale treatment in buffer and wastewater matrixes. Kinetics of extracellular and intracellular ARG degradation by UV and FAC were well predicted up to ∼1-2-log10 elimination, although with decreasing accuracy at higher levels for intracellular genes, while NH2Cl yielded minimal degradation under all conditions (agreeing with predictions). ARB inactivation kinetics varied substantially across strains, with intracellular gene degradation lagging cell inactivation in each case. ARG degradation levels observed during full-scale disinfection at two wastewater treatment facilities were consistent with bench-scale measurements and predictions, where UV provided ∼1-log10 ARG degradation, and chlorination of high-ammonia wastewater (dominated by NH2Cl) yielded minimal ARG degradation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cloro / Purificación del Agua Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cloro / Purificación del Agua Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Sci Technol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos