基于有效组合的多元混合物生物毒性评价体系研究

The toxicity evaluation of multi-component mixtures is the most direct and efficient means to measure the ecological risk of waters so as to promote the sustainable development of the aquatic environment. To precisely evaluate the joint action of multi-component mixtures and their toxicity, the acute toxicity dose response curves of chemicals to Vibrio qinghaiensis sp.—Q67 is studied. Then the mathematic parameter characterizing the shape of the curves are determined to develop the software for categorizing compounds. Employing the established nonlinear toxicity unit model (named TU'), the correlation between the joint action of binary mixtures and the types of their dose response curves are analyzed to obtain the characteristic of the binary mixtures which tend to produce interactions (named effective combinations). The study goes on to develop the joint action prediction model (JAPM) of multi-component mixtures based on joint action data of the effective binary combinations. Finally, the evaluation system of the biotoxicity of multi-component mixtures is established by integrating JAPM with the TU' model, dose addition (DA) and independent action (IA) which are applied independently. The findings will offer theoretical and technical support for the evaluation of the biotoxicity of multi-component mixtures more comprehensively and accurately.

多元混合物生物毒性评价是获知水体生态风险，促进水环境可持续发展最为直接、有效的手段。本课题以准确评价多元混合物联合作用及生物毒性为目的，从化学物质对青海弧菌（Q67）急性毒性的剂量效应曲线入手，确定表征曲线形状的数学参数，编制物质分型软件将化学物质分类；借助非线性毒性单位法（TU'）评价二元混合物的联合作用，分析其联合作用与剂量效应曲线类型的关系，明确易产生相互作用的二元组合（定义为“有效组合”）特征；建立利用多元混合物中有效二元组合的联合作用预测其整体作用方式的数学模型（JAPM）；进而将JAPM模型和目前独立应用的TU'模型、剂量加和（DA）、独立作用（IA）模型有机整合，构建可实现混合物联合作用定量和毒性预测的生物毒性评价体系。研究成果将为全面、准确的预测多元混合物的生物毒性提供理论依据和技术支持。

多元混合物生物毒性评价是获知水体生态风险，促进水环境可持续发展最为直接、有效的手段。本课题以准确评价多元混合物联合作用及生物毒性为目的，从化学物质对费氏弧菌急性毒性的剂量效应曲线入手，确定表征曲线形状的数学参数k∙ECx，借助剂量加和（DA）、独立作用（IA）模型、理论的非线性模型（TNL）评价二元、多元混合物的联合作用，确定了二元联合作用与参数k∙ECx的相对差异百分比（∆(k∙ECx)%）呈指数关系，这一规律在其慢性毒性评价中也得到验证；编制二元混合物毒性预测软件，明确易产生相互作用的二元组合（定义为“有效组合”）特征；初步确定多元混合物联合作用与各组分参数k∙ECx的方差亦呈指数关系；该研究成果与DA、IA、TNL模型结合，可实现从一元物质的生物毒性结果预测多元混合物联合毒性。研究成果为准确的预测多元混合物的生物毒性提供理论依据和技术支持。