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真实环境中地表水中微污染物的混合:饮用水和再生水中的混合,除草剂对藻类的混合物毒性占主导地位。

Realistic environmental mixtures of micropollutants in surface, drinking, and recycled water: herbicides dominate the mixture toxicity toward algae.

机构信息

National Research Centre for Environmental Toxicology, The University of Queensland, Coopers Plains, Queensland, Australia.

出版信息

Environ Toxicol Chem. 2014 Jun;33(6):1427-36. doi: 10.1002/etc.2580. Epub 2014 Apr 25.

Abstract

Mixture toxicity studies with herbicides have focused on a few priority components that are most likely to cause environmental impacts, and experimental mixtures were often designed as equipotent mixtures; however, real-world mixtures are made up of chemicals with different modes of toxic action at arbitrary concentration ratios. The toxicological significance of environmentally realistic mixtures has only been scarcely studied. Few studies have simultaneously compared the mixture effect of water samples with designed reference mixtures comprised of the ratios of analytically detected concentrations in toxicity tests. In the present study, the authors address the effect of herbicides and other chemicals on inhibition of photosynthesis and algal growth rate. The authors tested water samples including secondary treated wastewater effluent, recycled water, drinking water, and storm water in the combined algae assay. The detected chemicals were mixed in the concentration ratios detected, and the biological effects of the water samples were compared with the designed mixtures of individual detected chemicals to quantify the fraction of effect caused by unknown chemicals. The results showed that herbicides dominated the algal toxicity in these environmentally realistic mixtures, and the contribution by the non-herbicides was negligible. A 2-stage model, which used concentration addition within the groups of herbicides and non-herbicides followed by the model of independent action to predict the mixture effect of the two groups, could predict the experimental mixture toxicity effectively, but the concentration addition model for herbicides was robust and sufficient for complex mixtures. Therefore, the authors used the bioanalytical equivalency concept to derive effect-based trigger values for algal toxicity for monitoring water quality in recycled and surface water. All water samples tested would be compliant with the proposed trigger values associated with the appropriate guidelines.

摘要

混合毒性研究主要集中在少数几种最有可能对环境产生影响的优先成分上,实验混合物通常设计为等效混合物;然而,实际混合物由具有不同毒性作用模式的化学物质以任意浓度比组成。具有实际环境意义的混合物的毒理学意义仅得到了很少的研究。很少有研究同时比较了水样与由毒性试验中分析检测浓度比值组成的设计参考混合物的混合物效应。在本研究中,作者研究了除草剂和其他化学物质对光合作用和藻类生长速率抑制的影响。作者在藻类综合测定中测试了包括二级处理废水、再生水、饮用水和雨水在内的水样。检测到的化学物质按照检测到的浓度比混合,并将水样的生物效应与个别检测到的化学物质的设计混合物进行比较,以量化未知化学物质引起的效应部分。结果表明,除草剂在这些实际环境混合物中主导藻类毒性,而非除草剂的贡献可以忽略不计。使用除草剂组内浓度加和,然后是非除草剂组内独立作用模型的两阶段模型,可以有效地预测两组混合物的毒性,但除草剂的浓度加和模型是稳健的,足以应对复杂混合物。因此,作者使用基于生物分析等效性的概念为藻类毒性制定基于效应的监测值,以监测再生水和地表水的水质。所有测试的水样都将符合与适当指南相关的拟议触发值。

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