预测重金属和离子液体对发光菌 Q67 的协同毒性。
Predicting synergistic toxicity of heavy metals and ionic liquids on photobacterium Q67.
机构信息
Key Laboratory of Yangtze Aquatic Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Hainan Provincial Key Laboratory of Quality and Safety for Tropical Fruits and Vegetables, Analysis and Testing Center, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
Key Laboratory of Yangtze Aquatic Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
出版信息
J Hazard Mater. 2014 Mar 15;268:77-83. doi: 10.1016/j.jhazmat.2014.01.006. Epub 2014 Jan 9.
Results from three mathematical approaches to predict the toxicity of uniform design mixtures of four heavy metals (HMs) including Cd(II), Ni(II), Cu(II), and Zn(II) and six ionic liquids (ILs) were compared to the observed toxicity of these mixtures on Vibrio qinghaiensis sp.-Q67. Single toxicity analysis indicated that the ILs had greater toxicity than the HMs. Combined toxicities of HMs and ILs were found to be synergistic. The combined toxicities were underestimated by concentration addition (CA) and independent action (IA) models. However, the mixture toxicities were effectively predicted by the integrated CA with IA based on multiple linear regression model (ICIM). We propose that ICIM model can serve as a useful tool for predicting the toxicity of interactive mixtures.
结果来自三种数学方法来预测四种重金属（HM）（包括 Cd(II)、Ni(II)、Cu(II) 和 Zn(II）和六种离子液体（ILs）的均匀设计混合物的毒性，并将这些混合物对青海弧菌 sp.-Q67 的观察毒性进行了比较。单一毒性分析表明，ILs 的毒性大于 HMs。发现 HMs 和 ILs 的联合毒性具有协同作用。浓度加和（CA）和独立作用（IA）模型低估了联合毒性。然而，基于多元线性回归模型的综合 CA 与 IA（ICIM）有效地预测了混合物的毒性。我们提出 ICIM 模型可以作为预测相互作用混合物毒性的有用工具。
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