Photodegradation of Chlorinated Persistent Organic Pollutants (Cl-POPs) in Pearl River Suspended Particulate Matter-Water Systems: Kinetics, Quantitative Structure-Activity Relationship (QSAR) Development, and Mechanism.

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2025-03-04 Epub Date: 2025-02-19 DOI:10.1021/acs.est.4c07246
Xiaolei Teng, Jianqiao Xu, Zunyao Wang, Ruijuan Qu
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Abstract

Chlorinated persistent organic pollutants (Cl-POPs) are highly hydrophobic and are easily adsorbed to solid particulate matter after being released into the water column, thus affecting the transformation process and environmental fate. This study investigated the photodegradation behavior of 16 Cl-POPs in the Pearl River suspended particulate matter (SPM)-water system. The photodegradation rates of polychlorinated biphenyls (PCBs) were generally higher than those of dioxins and increased with substitution numbers of Cl atoms. A QSAR model correlating photodegradation rate constants of Cl-POPs and their structural parameters was established by using multiple linear regression (MLR) analysis and machine learning. The model results showed that soil-water partition coefficient (KOC), morgan fingerprint (mf_1747), and nucleophilicity index (NI) were the main factors affecting the photodegradation of Cl-POPs, confirming that the photodegradation of Cl-POPs with higher hydrophobicity and larger nucleophilic reactivity proceeded faster. According to the quenching experiment and theoretical calculation results, O2- in the hydrophobic region contributed more to the strongly hydrophobic Cl-POPs, while the contribution of OH was mainly concentrated in the weakly hydrophobic Cl-POPs. This study provided valuable insights into photolysis-related environmental persistence and fate of Cl-POPs in the SPM-water system.

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珠江悬浮颗粒物-水体系中氯代持久性有机污染物(Cl-POPs)的光降解动力学、定量结构-活性关系(QSAR)发展及其机理
氯化持久性有机污染物(Cl-POPs)具有高度疏水性,释放到水柱后极易吸附在固体颗粒物上,从而影响转化过程和环境命运。研究了16种cl - pop在珠江悬浮颗粒物-水体中的光降解行为。多氯联苯(PCBs)的光降解率普遍高于二恶英,并随着氯原子取代数的增加而增加。采用多元线性回归(MLR)分析和机器学习技术,建立了cl - pop光降解速率常数与其结构参数之间的QSAR模型。模型结果表明,土壤-水分配系数(KOC)、morgan指纹图谱(mf_1747)和亲核指数(NI)是影响cl - pop光降解的主要因素,说明疏水性高、亲核反应活性大的cl - pop光降解速度更快。猝灭实验和理论计算结果表明,疏水区域的•O2-对强疏水cl - pop的贡献较大,而•OH的贡献主要集中在弱疏水cl - pop中。该研究对spm -水系统中与光解相关的环境持久性和Cl-POPs的命运提供了有价值的见解。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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