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基于浓度-反应曲线的特征参数 k∙EC 预测二元混合物的联合作用。

Prediction of the joint action of binary mixtures based on characteristic parameter k∙EC from concentration-response curves.

机构信息

College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.

College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.

出版信息

Ecotoxicol Environ Saf. 2021 Jun 1;215:112155. doi: 10.1016/j.ecoenv.2021.112155. Epub 2021 Mar 20.

DOI:10.1016/j.ecoenv.2021.112155
PMID:33756291
Abstract

The evaluation of joint toxicity of mixtures is an important topic in toxicology. Previous studies have found that the parameter k∙EC of concentration response curves (CRCs) can be used to assess the applicability of concentration addition model (CA). This study further assesses the predictability of k∙EC on the joint toxicity evaluation. The toxicities of the twelve environmental pollutants, as well as those of binary mixtures with an equivalent-effect concentration ratio, to Vibrio fischeri were determined by using the microplate toxicity analysis. The toxicity evaluation of mixtures was conducted by CA and independent action model (IA). The relationship between the joint toxicity (measured by the relative model deviation ratio (rMDR)) and the k∙EC was studied. The results shows that the k∙EC could reflect the shape of CRCs in the whole concentration range. According to the IA and CA, 65% of the mixtures produce strong antagonistic or synergistic effect due to the significant difference of k∙EC. The percentage of the relative difference of k∙EC of components and the rMDR can be fitted by an exponential function. Different types of interactions could be described using this function. It is suggested that the joint toxicity of binary mixtures can be assessed with the parameter k∙EC, which can quickly get very important data when planning experiments, but also reduce the number of experiments.

摘要

混合物的联合毒性评价是毒理学中的一个重要课题。以往的研究发现,浓度反应曲线(CRC)的参数 k∙EC 可用于评估浓度加和模型(CA)的适用性。本研究进一步评估了 k∙EC 对联合毒性评价的预测能力。通过微孔板毒性分析,测定了 12 种环境污染物以及等效效应浓度比的二元混合物对发光菌的毒性。采用 CA 和独立作用模型(IA)对混合物的毒性进行了评价。研究了混合物的联合毒性(用相对模型偏差比(rMDR)测量)与 k∙EC 之间的关系。结果表明,k∙EC 可以反映整个浓度范围内 CRC 的形状。根据 IA 和 CA,由于 k∙EC 的显著差异,65%的混合物产生强烈的拮抗或协同作用。组件的 k∙EC 的相对差异的百分比和 rMDR 可以用指数函数拟合。可以使用此函数描述不同类型的相互作用。建议可以使用参数 k∙EC 来评估二元混合物的联合毒性,这可以在实验计划时快速获得非常重要的数据,同时减少实验次数。

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