title: A novel method dependent only on the mixture information (MIM) for evaluating the toxicity of mixture.
abstract: Compound contamination and toxicity interaction necessitate the development of models that have an insight into the combined toxicity of chemicals. In this paper, a novel and simple model dependent only on the mixture information (MIM), was developed. Firstly, the concentration-response data of seven groups of binary and multi-component (pseudo-binary) mixtures with different mixture ratios to Vibrio qinghaiensis sp.-Q67 were determined using the microplate toxicity analysis. Then, a desirable non-linear function was selected to fit the data. It was found that there are good linear correlations between the location parameter (α) and mixture ratio (p) of a component and between the steepness (β) and p. Based on the correlations, a mixture toxicity model independent of pure component toxicity profiles was built. The model can be used to accurately estimate the toxicities of the seven groups of mixtures, which greatly simplified the predictive procedure of the combined toxicity.
authors.affiliation: State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, PR China.
authors.forename: Jin
authors.initials: J
authors.lastname: Zhang
authors.forename: Shu-Shen
authors.initials: SS
authors.lastname: Liu
authors.forename: Hai-Ling
authors.initials: HL
authors.lastname: Liu
authors.forename: Xiang-Wei
authors.initials: XW
authors.lastname: Zhu
authors.forename: Xiao-Juan
authors.initials: XJ
authors.lastname: Mi
mesh_terms: D001681:Biological Assay / Q000379:methods*; D045424:Complex Mixtures / Q000633:toxicity*; D052578:Ionic Liquids / Q000633:toxicity*; D010575:Pesticides / Q000633:toxicity*; D014733:Vibrio / Q000187:drug effects*
chemical_list: D045424:Complex Mixtures; D052578:Ionic Liquids; D010575:Pesticides