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将不良结局途径和物种敏感性加权分布应用于预测无效应浓度推导和水生态环境中双酚 A 和壬基酚的定量生态风险评估:以中国天津市为例。

Applying adverse outcome pathways and species sensitivity-weighted distribution to predicted-no-effect concentration derivation and quantitative ecological risk assessment for bisphenol A and 4-nonylphenol in aquatic environments: A case study on Tianjin City, China.

机构信息

Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China.

Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing, Jiangsu, China.

出版信息

Environ Toxicol Chem. 2018 Feb;37(2):551-562. doi: 10.1002/etc.3994. Epub 2017 Dec 8.

DOI:10.1002/etc.3994
PMID:28984376
Abstract

Adverse outcome pathways (AOPs) are a novel concept that effectively considers the toxic modes of action and guides the ecological risk assessment of chemicals. To better use toxicity data including biochemical or molecular responses and mechanistic data, we further developed a species sensitivity-weighted distribution (SSWD) method for bisphenol A and 4-nonylphenol. Their aquatic predicted-no-effect concentrations (PNECs) were derived using the log-normal statistical extrapolation method. We calculated aquatic PNECs of bisphenol A and 4-nonylphenol with values of 4.01 and 0.721 µg/L, respectively. The ecological risk of each chemical in different aquatic environments near Tianjin, China, a coastal municipality along the Bohai Sea, was characterized by hazard quotient and probabilistic risk quotient assessment techniques. Hazard quotients of 7.02 and 5.99 at 2 municipal sewage sites using all of the endpoints were observed for 4-nonylphenol, which indicated high ecological risks posed by 4-nonylphenol to aquatic organisms, especially endocrine-disrupting effects. Moreover, a high ecological risk of 4-nonylphenol was indicated based on the probabilistic risk quotient method. The present results show that combining the SSWD method and the AOP concept could better protect aquatic organisms from adverse effects such as endocrine disruption and could decrease uncertainty in ecological risk assessment. Environ Toxicol Chem 2018;37:551-562. © 2017 SETAC.

摘要

译文:

中文标题: 基于物种敏感度加权分布的水生生物内分泌干扰风险评估

摘要: 有害结局路径(AOPs)是一个新的概念,它有效地考虑了化学物质的毒性作用模式,并指导了化学物质的生态风险评估。为了更好地利用包括生化或分子反应和机制数据在内的毒性数据,我们进一步开发了一种基于物种敏感度加权分布(SSWD)的方法,用于双酚 A 和 4-壬基酚。采用对数正态统计外推法得出其水生预测无效应浓度(PNEC)。我们计算出双酚 A 和 4-壬基酚的水生 PNEC 值分别为 4.01 和 0.721μg/L。采用危害商数和概率风险商数评估技术,对中国沿海直辖市天津市附近不同水生态环境中这两种化学物质的生态风险进行了特征描述。在 2 个市政污水排放口,使用所有终点的 4-壬基酚危害商数分别为 7.02 和 5.99,表明 4-壬基酚对水生生物具有很高的生态风险,特别是对内分泌干扰作用。此外,概率风险商数法也表明 4-壬基酚具有很高的生态风险。本研究结果表明,结合 SSWD 方法和 AOP 概念可以更好地保护水生生物免受内分泌干扰等不利影响,并降低生态风险评估的不确定性。

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