{"title":"利用机械动力学模型优化还原剂介导的铜类芬顿系统中的污染物降解","authors":"Maximiliano Ferrer, A. Ninh Pham, T. David Waite","doi":"10.1016/j.watres.2025.124339","DOIUrl":null,"url":null,"abstract":"A mechanistic kinetic model has been developed and validated for Cu(II)/AA (ascorbic acid) and Cu(II)/H<sub>2</sub>O<sub>2</sub>/AA systems under varying chloride concentrations and circumneutral pH. While the Cu(II)/AA system degraded the selected target contaminant (formate) via Cu(III) generation through a Fenton-like mechanism, observed efficiencies were inadequate for practical water treatment across a broad range of chloride concentrations. This limitation stemmed from insufficient H<sub>2</sub>O<sub>2</sub> production, leading to low Cu(III) concentrations, and scavenging of Cu(III) by AA and its oxidation products. Conversely, adding AA to the Cu(II)/H<sub>2</sub>O<sub>2</sub> system at low chloride concentrations enhanced degradation by accelerating Cu(II) reduction to Cu(I), promoting copper redox cycling and increasing Cu(III) formation. However, degradation plateaued at approximately 40% within 10 minutes due to Cu(III) scavenging by AA and its byproducts. Using the developed model, optimised reagent dosing strategies achieved over 90% formate degradation within an hour through consecutive AA additions at 10 min intervals. This approach, employing non-hazardous reagents and demonstrating high efficiency at low chloride concentrations, offers a promising approach to removal of oxidisable organic contaminants during wastewater treatment. The model proved instrumental in optimising reagent dosing, enhancing degradation efficiency, and potentially reducing operational costs for scaling up of a copper-based advanced oxidation process.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"25 1","pages":""},"PeriodicalIF":12.4000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimising Pollutant Degradation in Reductant-mediated Copper Fenton-Like Systems Using Mechanistically-based Kinetic Modelling\",\"authors\":\"Maximiliano Ferrer, A. Ninh Pham, T. David Waite\",\"doi\":\"10.1016/j.watres.2025.124339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mechanistic kinetic model has been developed and validated for Cu(II)/AA (ascorbic acid) and Cu(II)/H<sub>2</sub>O<sub>2</sub>/AA systems under varying chloride concentrations and circumneutral pH. While the Cu(II)/AA system degraded the selected target contaminant (formate) via Cu(III) generation through a Fenton-like mechanism, observed efficiencies were inadequate for practical water treatment across a broad range of chloride concentrations. This limitation stemmed from insufficient H<sub>2</sub>O<sub>2</sub> production, leading to low Cu(III) concentrations, and scavenging of Cu(III) by AA and its oxidation products. Conversely, adding AA to the Cu(II)/H<sub>2</sub>O<sub>2</sub> system at low chloride concentrations enhanced degradation by accelerating Cu(II) reduction to Cu(I), promoting copper redox cycling and increasing Cu(III) formation. However, degradation plateaued at approximately 40% within 10 minutes due to Cu(III) scavenging by AA and its byproducts. Using the developed model, optimised reagent dosing strategies achieved over 90% formate degradation within an hour through consecutive AA additions at 10 min intervals. This approach, employing non-hazardous reagents and demonstrating high efficiency at low chloride concentrations, offers a promising approach to removal of oxidisable organic contaminants during wastewater treatment. The model proved instrumental in optimising reagent dosing, enhancing degradation efficiency, and potentially reducing operational costs for scaling up of a copper-based advanced oxidation process.\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.watres.2025.124339\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.124339","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Optimising Pollutant Degradation in Reductant-mediated Copper Fenton-Like Systems Using Mechanistically-based Kinetic Modelling
A mechanistic kinetic model has been developed and validated for Cu(II)/AA (ascorbic acid) and Cu(II)/H2O2/AA systems under varying chloride concentrations and circumneutral pH. While the Cu(II)/AA system degraded the selected target contaminant (formate) via Cu(III) generation through a Fenton-like mechanism, observed efficiencies were inadequate for practical water treatment across a broad range of chloride concentrations. This limitation stemmed from insufficient H2O2 production, leading to low Cu(III) concentrations, and scavenging of Cu(III) by AA and its oxidation products. Conversely, adding AA to the Cu(II)/H2O2 system at low chloride concentrations enhanced degradation by accelerating Cu(II) reduction to Cu(I), promoting copper redox cycling and increasing Cu(III) formation. However, degradation plateaued at approximately 40% within 10 minutes due to Cu(III) scavenging by AA and its byproducts. Using the developed model, optimised reagent dosing strategies achieved over 90% formate degradation within an hour through consecutive AA additions at 10 min intervals. This approach, employing non-hazardous reagents and demonstrating high efficiency at low chloride concentrations, offers a promising approach to removal of oxidisable organic contaminants during wastewater treatment. The model proved instrumental in optimising reagent dosing, enhancing degradation efficiency, and potentially reducing operational costs for scaling up of a copper-based advanced oxidation process.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.