应用定量结构-活性关系 (QSAR) 模型来扩展洗水的混合物毒性预测
A Lunde Hermansson1, M Gustavsson2, I-M Hassellöv1
1Chalmers University of Technology, Gothenburg, 41296, Sweden.
Environmental pollution (Barking, Essex : 1987)
|December 20, 2024
概括
由于复杂的化学混合物,船舶清洗器排放会损害海洋生物. 定量结构-活性关系 (QSAR) 模型有助于评估毒性,但低估了效果,表明未知的物质或协同影响.
科学领域:
- 海洋生态毒理学 海洋生态毒理学
- 环境化学环境化学
- 计算化学计算化学
背景情况:
- 海洋生态系统面临来自自然和人为来源的各种化学混合物的持续暴露.
- 船舶废气清洁系统 (洗器) 的排放水由于其酸性和金属和多环芳 (PAHs) 等高度污染物而引起严重关注.
- 现有的生态毒理学数据对于许多洗水成分是不够的,特别是基化PAHs,阻碍了临界值的确定.
研究的目的:
- 通过用定量结构-活性关系 (QSAR) 模型补充实验数据来估计洗水的混合物毒性.
- 确定目前对洗机排放的毒性评估中的潜在缺口.
- 强调在评估环境风险时需要更广泛的化学选和先进的建模.
主要方法:
- 利用定量结构-活性关系 (QSAR) 模型来预测洗水中发现物质的生态毒理反应.
- 测量了50种物质的度,包括金属,PAH和化PAH.
- 将预测的混合物毒性与整个废水毒性测试的结果进行了比较.
主要成果:
- 50种测量物质 (10种金属,16种PAH,24种化PAH) 的综合预测生态毒理反应低估了整个废水试验中观察到的毒性.
- 这种差异表明在洗水混合物中存在额外的有毒物质或协同效应.
- 该研究发现,仅基于常见监测污染物的毒性评估存在局限性.
结论:
- 目前对洗水毒性的评估,专注于有限的金属和PAH,是不够的.
- QSAR模型对于扩大毒性评估是有价值的,但不能完全解释洗水的复杂影响.
- 准确的风险评估需要全面的化学选和先进的方法来识别所有有助于物质和协同作用的相互作用.
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