Predicting synergistic toxicity of heavy metals and ionic liquids on photobacterium Q67

Hui-Lin Ge; Shu-Shen Liu; Bing-Xia Su; Li-Tang Qin

doi:10.1016/j.jhazmat.2014.01.006

Predicting synergistic toxicity of heavy metals and ionic liquids on photobacterium Q67

J Hazard Mater. 2014 Mar 15:268:77-83. doi: 10.1016/j.jhazmat.2014.01.006. Epub 2014 Jan 9.

Authors

Hui-Lin Ge¹, Shu-Shen Liu², Bing-Xia Su³, Li-Tang Qin⁴

Affiliations

¹ 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.
² Key Laboratory of Yangtze Aquatic Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China. Electronic address: ssliuhl@263.net.
³ 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.
⁴ College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China.

PMID: 24468529
DOI: 10.1016/j.jhazmat.2014.01.006

Abstract

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.

Keywords: Concentration addition; ICIM model; Independent action; Synergism; Uniform design.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Drug Synergism
Ionic Liquids / chemistry
Ionic Liquids / toxicity*
Metals, Heavy / chemistry
Metals, Heavy / toxicity*
Models, Theoretical*
Photobacterium / drug effects*
Photobacterium / growth & development
Predictive Value of Tests
Wastewater / chemistry

Substances

Ionic Liquids
Metals, Heavy
Waste Water