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作 者:杨蕾 徐莹 余诗航 李潇斐 李剑[1] YANG Lei;XU Ying;YU Shi-hang;LI Xiao-fei;LI Jian(Engineering Research Center of Groundwater Pollution Control and Remediation,Ministry of Education,College of Water Sciences,Beijing Normal University,Beijing 100875,China)
机构地区:[1]北京师范大学水科学研究院,地下水污染控制与修复教育部工程中心,北京100875
出 处:《环境科学》2024年第6期3142-3152,共11页Environmental Science
基 金:国家自然科学基金项目(41831283)。
摘 要:地下水污染物对用水安全和人民健康造成了巨大的威胁.为开展地下水中高危害污染物筛选,改进了传统的危害评价方法,构建了涵盖毒理学优先指数法(Tox Pi),吸收、分布、代谢、排泄(ADME)性质评估法和二模网络分析法的污染物危害评估-筛选-表征综合体系,针对北京市地下水中非靶检测到的234种疏水性有机污染物(HOCs)开展危害评估和毒害污染物筛选.利用Tox Pi方法筛选出危害潜力排名前20的污染物,在此基础上耦合其ADME性质进一步识别出17种高优先级HOCs,并通过二模网络分析,系统表征了这17种高优先级HOCs作用的基因分子靶点,通过关联性和加权平均度分析最终得到10种高危害的HOCs,并揭示其毒作用类型多集中于内分泌干扰效应、致癌效应以及遗传毒性.研究结果可为我国区域地下水污染物的防治提供技术支撑.Groundwater contaminants pose a great threat to water safety and human health.Therefore,in this study,the traditional hazard assessment method was improved and a comprehensive system covering hazard assessment,screening,and characterization by combining the toxicological priority index(Tox Pi)framework;absorption,distribution,metabolism,and excretory(ADME)analysis;and bipartite network analysis was constructed.Then,the system was applied to hazard assessment and toxic pollutants screening from the 234 hydrophobic organic contaminants(HOCs)identified in the groundwater of Beijing.First,the top 20 pollutants with hazard potential were screened out using the Tox Pi method.Subsequently,17 high-priority HOCs were further identified based on the ADME property analysis.Then,the molecular targets of these 17 high-priority HOCs were characterized through systematic bipartite network analysis.Finally,ten HOCs with high hazard were screened through correlation and weighted average analysis,and it was revealed that their toxic effects were mainly concentrated in the endocrine-disrupting effect,carcinogenic effect,and genetic toxicity.This study provides technical support for the prevention of regional groundwater contaminants.
关 键 词:地下水污染 疏水性有机污染物(HOCs) 非靶向筛查技术 毒理学优先指数法(Tox Pi) 吸收、分布、代谢、排泄(ADME) 污染物筛选
分 类 号:X171.5[环境科学与工程—环境科学] X523
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