Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
Environ Sci Technol. 2012 Mar 6;46(5):2564-73. doi: 10.1021/es2034125. Epub 2012 Feb 22.
Environmental risks of chemicals are still often assessed substance-by-substance, neglecting mixture effects. This may result in risk underestimations, as the typical exposure is toward multicomponent chemical "cocktails". We use the two well established mixture toxicity concepts (Concentration Addition (CA) and Independent Action (IA)) for providing a tiered outline for environmental hazard and risk assessments of mixtures, focusing on general industrial chemicals and assuming that the "base set" of data (EC50s for algae, crustaceans, fish) is available. As mixture toxicities higher than predicted by CA are rare findings, we suggest applying CA as a precautious first tier, irrespective of the modes/mechanisms of action of the mixture components. In particular, we prove that summing up PEC/PNEC ratios might serve as a justifiable CA-approximation, in order to estimate in a first tier assessment whether there is a potential risk for an exposed ecosystem if only base-set data are available. This makes optimum use of existing single substance assessments as more demanding mixture investigations are requested only if there are first indications of an environmental risk. Finally we suggest to call for mode-of-action driven analyses only if error estimations indicate the possibility for substantial differences between CA- and IA-based assessments.
化学物质的环境风险通常仍然是逐个物质进行评估,而忽略了混合物的影响。这可能导致风险低估,因为典型的暴露是针对多成分化学“鸡尾酒”。我们使用两种成熟的混合物毒性概念(浓度加和(CA)和独立作用(IA)),为混合物的环境危害和风险评估提供了一个分层的概述,重点是一般工业化学品,并假设“基础数据集”(藻类、甲壳类动物、鱼类的 EC50)可用。由于高于 CA 预测的混合物毒性是罕见的发现,我们建议将 CA 作为谨慎的第一层次应用,而不论混合物成分的作用模式/机制如何。特别是,我们证明了将 PEC/PNEC 比值相加可以作为 CA 近似的合理方法,以便在第一层次评估中,如果仅使用基础数据集,就可以估计暴露的生态系统是否存在潜在风险。这使得可以充分利用现有的单一物质评估,而仅在有环境风险的初步迹象时才要求进行更具挑战性的混合物研究。最后,如果误差估计表明 CA 和 IA 评估之间存在实质性差异的可能性,我们建议仅呼吁进行作用模式驱动的分析。