Shuiqin Shi , Linke Jiang , Kaiting Zhang , Tongzhen Li , Junmei Yan , Lianbao Chi , Mingbao Feng
{"title":"高价金属控制的微污染物和溶解有机物反应模式的分子水平制图","authors":"Shuiqin Shi , Linke Jiang , Kaiting Zhang , Tongzhen Li , Junmei Yan , Lianbao Chi , Mingbao Feng","doi":"10.1016/j.watres.2025.124134","DOIUrl":null,"url":null,"abstract":"<div><div>High-valent metal-based oxidation systems have been receiving extensive attention for their high reactivity and selectivity toward recalcitrant organic contaminants. However, the molecular insights into the elimination of organic micropollutants (especially their highly concerned transformation products (TPs)) and dissolved organic matter (DOM) by these oxidation systems remain unclear. This study evaluated the degradation of nine TPs of different precursors (sulfonamides, carbamazepine, and atrazine) under ferrate(VI)/sulfite (Fe(VI)/S(IV)), permanganate(VII)/sulfite (Mn(VII)/S(IV)), cobalt(II)/peroxymonosulfate (Co(II)/PMS), and copper(II)/peroxymonosulfate (Cu(II)/PMS)-based oxidation together with the elucidation of the molecular-level alterations of DOM. Findings revealed both Mn(VII)/S(IV) and Co(II)/PMS achieved superior TP removal (up to 99 % in 20 min) under optimized conditions. Analyzing oxidized products (OPs) indicated their distinct transformation pathways, with multiple OPs exhibiting enhanced persistence, mobility, or chronic toxicity. Fourier-transform ion cyclotron resonance mass spectrometry analysis suggested the compositional restructuration in DOM molecules. Successive transformation of DOM, including oxygen addition, decarboxylation, and selective attack of nitrogen/sulfur-containing moieties, occurred to yield oxygen-enriched, low-molecular-weight fractions. Machine learning and SHAP analysis identified molecular weight as the most dominant predictor of DOM reactivity toward oxidation. These findings enhance the understanding of the availability of TP abatement by high-valent metal-mediated oxidation systems and provide further insights into the DOM transformation during oxidative water treatment.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"285 ","pages":"Article 124134"},"PeriodicalIF":12.4000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular-level mapping of high-valent metal-governed reaction patterns of micropollutants and dissolved organic matter\",\"authors\":\"Shuiqin Shi , Linke Jiang , Kaiting Zhang , Tongzhen Li , Junmei Yan , Lianbao Chi , Mingbao Feng\",\"doi\":\"10.1016/j.watres.2025.124134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>High-valent metal-based oxidation systems have been receiving extensive attention for their high reactivity and selectivity toward recalcitrant organic contaminants. However, the molecular insights into the elimination of organic micropollutants (especially their highly concerned transformation products (TPs)) and dissolved organic matter (DOM) by these oxidation systems remain unclear. This study evaluated the degradation of nine TPs of different precursors (sulfonamides, carbamazepine, and atrazine) under ferrate(VI)/sulfite (Fe(VI)/S(IV)), permanganate(VII)/sulfite (Mn(VII)/S(IV)), cobalt(II)/peroxymonosulfate (Co(II)/PMS), and copper(II)/peroxymonosulfate (Cu(II)/PMS)-based oxidation together with the elucidation of the molecular-level alterations of DOM. Findings revealed both Mn(VII)/S(IV) and Co(II)/PMS achieved superior TP removal (up to 99 % in 20 min) under optimized conditions. Analyzing oxidized products (OPs) indicated their distinct transformation pathways, with multiple OPs exhibiting enhanced persistence, mobility, or chronic toxicity. Fourier-transform ion cyclotron resonance mass spectrometry analysis suggested the compositional restructuration in DOM molecules. Successive transformation of DOM, including oxygen addition, decarboxylation, and selective attack of nitrogen/sulfur-containing moieties, occurred to yield oxygen-enriched, low-molecular-weight fractions. Machine learning and SHAP analysis identified molecular weight as the most dominant predictor of DOM reactivity toward oxidation. These findings enhance the understanding of the availability of TP abatement by high-valent metal-mediated oxidation systems and provide further insights into the DOM transformation during oxidative water treatment.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"285 \",\"pages\":\"Article 124134\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425010413\",\"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://www.sciencedirect.com/science/article/pii/S0043135425010413","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}
Molecular-level mapping of high-valent metal-governed reaction patterns of micropollutants and dissolved organic matter
High-valent metal-based oxidation systems have been receiving extensive attention for their high reactivity and selectivity toward recalcitrant organic contaminants. However, the molecular insights into the elimination of organic micropollutants (especially their highly concerned transformation products (TPs)) and dissolved organic matter (DOM) by these oxidation systems remain unclear. This study evaluated the degradation of nine TPs of different precursors (sulfonamides, carbamazepine, and atrazine) under ferrate(VI)/sulfite (Fe(VI)/S(IV)), permanganate(VII)/sulfite (Mn(VII)/S(IV)), cobalt(II)/peroxymonosulfate (Co(II)/PMS), and copper(II)/peroxymonosulfate (Cu(II)/PMS)-based oxidation together with the elucidation of the molecular-level alterations of DOM. Findings revealed both Mn(VII)/S(IV) and Co(II)/PMS achieved superior TP removal (up to 99 % in 20 min) under optimized conditions. Analyzing oxidized products (OPs) indicated their distinct transformation pathways, with multiple OPs exhibiting enhanced persistence, mobility, or chronic toxicity. Fourier-transform ion cyclotron resonance mass spectrometry analysis suggested the compositional restructuration in DOM molecules. Successive transformation of DOM, including oxygen addition, decarboxylation, and selective attack of nitrogen/sulfur-containing moieties, occurred to yield oxygen-enriched, low-molecular-weight fractions. Machine learning and SHAP analysis identified molecular weight as the most dominant predictor of DOM reactivity toward oxidation. These findings enhance the understanding of the availability of TP abatement by high-valent metal-mediated oxidation systems and provide further insights into the DOM transformation during oxidative water treatment.
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.