Liu Shu-Shen, Song Xiao-Qing, Liu Hai-Ling, Zhang Ya-Hui, Zhang Jing
Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, PR China.
Chemosphere. 2009 Apr;75(3):381-8. doi: 10.1016/j.chemosphere.2008.12.026. Epub 2009 Feb 11.
To test whether the dose-addition (DA) model can predict the combined toxicity of the mixtures of herbicides that coexisted with insecticide(s), we selected five herbicides (simetryn, prometon, bromacil, velpar, and diquat) and one organophosphorus insecticide (dichlorvos) as the test components. The inhibition toxicities of the six pesticides as well as those of their mixtures to Vibrio qinghaiensis sp.-Q67 were determined by using the microplate toxicity test procedure. The dose-response curves (DRCs) between the observed inhibition toxicities and the doses of the pesticides or the mixtures were modeled by using the nonlinear least square fitting. It was shown that all dose-response relationships were effectively described by the Weibull function. To fully explore the combined toxicities of mixtures including various concentration compositions, we designed three equivalent-effect concentration ratio (EECR) mixtures and six uniform design concentration ratio (UDCR) mixtures. The combined toxicity of a mixture is identified by inspecting whether the DRC predicted by the dose addition (DA) or independent action (IA) locates in the 95% confidence interval of the DRC of the mixture. Furthermore, the possible reason for the three mixtures to depart from the DA action was the very high concentration ratio of diquat in the mixtures.
为了测试剂量相加(DA)模型是否能够预测与一种或多种杀虫剂共存的除草剂混合物的联合毒性,我们选择了五种除草剂(西草净、扑灭通、溴敌隆、草枯醚和敌草快)和一种有机磷杀虫剂(敌敌畏)作为测试成分。采用微孔板毒性测试程序测定了这六种农药及其混合物对青海弧菌Q67的抑制毒性。通过非线性最小二乘法拟合建立了观察到的抑制毒性与农药或混合物剂量之间的剂量-反应曲线(DRC)。结果表明,所有剂量-反应关系均可用威布尔函数有效描述。为了全面探究包括各种浓度组成的混合物的联合毒性,我们设计了三种等效效应浓度比(EECR)混合物和六种均匀设计浓度比(UDCR)混合物。通过检查剂量相加(DA)或独立作用(IA)预测的DRC是否位于混合物DRC的95%置信区间内来确定混合物的联合毒性。此外,三种混合物偏离DA作用的可能原因是混合物中敌草快的浓度比非常高。