دورية أكاديمية
أعرض في EDS

Systematic investigation and modeling prediction of virus inactivation by ozone in wastewater: Decoupling the matrix effects.

التفاصيل البيبلوغرافية
العنوان: Systematic investigation and modeling prediction of virus inactivation by ozone in wastewater: Decoupling the matrix effects.
المؤلفون: Liang Z; State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environment Protection Key Laboratory of Microorganism Application and Risk Control, School of Environment, Tsinghua University, Beijing, 100084, PR China., Lu K; State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environment Protection Key Laboratory of Microorganism Application and Risk Control, School of Environment, Tsinghua University, Beijing, 100084, PR China., Xu C; State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environment Protection Key Laboratory of Microorganism Application and Risk Control, School of Environment, Tsinghua University, Beijing, 100084, PR China., Huang X; State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environment Protection Key Laboratory of Microorganism Application and Risk Control, School of Environment, Tsinghua University, Beijing, 100084, PR China., Zhang X; State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environment Protection Key Laboratory of Microorganism Application and Risk Control, School of Environment, Tsinghua University, Beijing, 100084, PR China. Electronic address: zhangxiaoyuan@tsinghua.edu.cn.
المصدر: Water research [Water Res] 2024 Jun 15; Vol. 257, pp. 121685. Date of Electronic Publication: 2024 Apr 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2448 (Electronic) Linking ISSN: 00431354 NLM ISO Abbreviation: Water Res Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Oxford, Pergamon Press.
مواضيع طبية MeSH: Ozone*/pharmacology , Wastewater*/virology , Virus Inactivation*/drug effects , Disinfection*/methods, Water Purification ; Disinfectants/pharmacology ; Models, Theoretical ; Kinetics
مستخلص: Water disinfection is undoubtedly regarded as a critical step in ensuring the water safety for human consumption, and ozone is widely used as a highly effective disinfectant for the control of pathogenic microorganisms in water. Although the diminished ozone efficiencies in complex water matrices have been widely reported, the specific extent to which individual components of matrix act on the virus inactivation by ozone remains unclear, and effective methodologies to predict the comprehensive effects of various factors are needed. In this study, the decoupled impact of the intricate water matrix on the ozone inactivation of viruses was systematically investigated and assessed from a simulative perspective. The concept of "equivalent ozone depletion rate constant" (k') was introduced to quantify the influence of different species, and a kinetic model was developed based on the k' values for simulating the ozone inactivation processes in complex matrix. The mechanisms through which diverse species influenced the ozone inactivation effectiveness were identified: 1) competition effects (k' = 10 5 ∼10 7 M -1 s -1 ), including organic matters and reductive ions (SO 3 2- , NO 2 - , and I - ), which were the most influential species inhibiting the virus inactivation; 2) shielding effects (k' = 10 3 ∼10 4 M -1 s -1 ), including Ca 2+ , Mg 2+ , and kaolin; 3) insignificant effects (k' = 0∼1 M -1 s -1 ), including Cl - , SO 4 2- , NO 3 - , NH 4 + , and Br - ; 4) promotion effects (k' = ∼-10 3 M -1 s -1 ), including CO 3 2- and HCO 3 - . Prediction of ozone disinfection efficiency and evaluation of species contribution under complex aquatic matrices were successfully realized utilizing the model. The systematic understanding and methodologies developed in this research provide a reliable framework for predicting ozone inactivation efficiency under complex matrix, and a potential tool for accurate disinfectant dosage determination and interfering factors control in actual wastewater treatment processes.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier Ltd.)
فهرسة مساهمة: Keywords: Kinetic modeling; Matrix effect decoupling; Ozone; Virus inactivation; Wastewater
المشرفين على المادة: 66H7ZZK23N (Ozone)
0 (Wastewater)
0 (Disinfectants)
تواريخ الأحداث: Date Created: 20240510 Date Completed: 20240527 Latest Revision: 20240527
رمز التحديث: 20240528
DOI: 10.1016/j.watres.2024.121685
PMID: 38728774
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-2448
DOI:10.1016/j.watres.2024.121685