Insights into Chlorination-Induced Degradation of Sulfonylurea Herbicides: Unraveling Kinetics and Intermediates during Water Treatment

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-18 DOI:10.1016/j.watres.2025.123513
Eduardo De Gerónimo, Agustín Mosca, Franco M. Cabrerizo, Ronald Vargas
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Abstract

Chlorination is a common method for drinking water disinfection due to its efficiency and low cost. The strong oxidative properties of chlorine can lead to reactions with dissolved organic compounds, resulting in various transformation products. This study investigates the chlorination-induced degradation of the sulfonylurea herbicides metsulfuron-methyl and chlorimuron-ethyl, which are frequently found in surface and groundwater. The degradation of these herbicides follows a second-order kinetic model. The apparent second-order rate constants for metsulfuron-methyl range from 3.2 to 244 M⁻¹ s⁻¹, while those for chlorimuron-ethyl range from 2.2 to 287.7 M⁻¹ s⁻¹ within a pH range of 4 to 9. Reaction with HClO effectively reduced the concentration of pesticides. Under acidic conditions, the reaction was significantly enhanced, likely due to hydrolysis or changes in the speciation of the organic compounds. In fact, the rate constant under acidic conditions was approximately 35 and 27 times higher than the reaction rate at more neutral pH for chlorimuron-ethyl and metsulfuron-methyl, respectively. The reaction rate with ClO⁻ approached zero for both herbicides, suggesting a minor or negligible pathway involving the hypochlorite anion. Mass spectrometry identified six chlorination products for metsulfuron-methyl and five for chlorimuron-ethyl. Although the specific reaction mechanisms were not fully elucidated, these products provided valuable insights into the fate of sulfonylureas under chlorination. Under typical disinfection conditions (pH 7 and 4 mg L⁻¹ chlorine), the half-lives of 17.8 minutes for metsulfuron-methyl and 26.6 minutes for chlorimuron-ethyl demonstrate the potential for effective degradation in relatively short timeframes. This study underscores the potential for effective removal of these herbicides in drinking water treatment and highlights the importance of evaluating degradation products over time, as they remain detectable even after seven days.

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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
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