A simple hydrophobicity-based approach to predict the toxicity of unknown organic micropollutant mixtures in marine water.
In this study, we propose a simple hydrophobicity-based approach to predict the toxicity of mixtures of marine organic micropollutants. Fifty mixtures were chosen, comprising individual chemicals randomly chosen from three halogenated benzenes, three phenols, two petroleum hydrocarbons, three polychlorinated biphenyls (PCBs), four organochlorine pesticides (OCPs) and two herbicides, with the intention of simulating the mixtures of organic micropollutants that may exist in some marine waters. The hydrophobicity of the mixtures was quantified by measuring the C(18)-Empore(TM) disk/water partition coefficients (K(MD)). A K(MD)-based approach was proposed to describe their toxicity to Photobacterium phosphoreum, and the application of this approach to another 10 related mixtures proved its predictive capability, as indicated by the consistency between the predicted and observed toxicities (r(2)=0.905, SE=0.101, and F=76.325 at P<0.001). This predictive capability convinces us that the K(MD)-based approach provides a general approach to predicting the toxicity of mixtures of organic micropollutants in marine water.
Lin
Zhifen
Z
Key Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, PR China. lzhifen@yahoo.com
Zhong
Ping
P
Niu
Xiaojun
X
Yin
Kedong
K
Yu
Hongxia
H
Du
Jianwei
J
D057927:Hydrophobic and Hydrophilic Interactions; D009930:Organic Chemicals / Q000032:analysis / Q000633:toxicity*; D010776:Photobacterium / Q000187:drug effects; D011237:Predictive Value of Tests; D012623:Seawater / Q000032:analysis*; D018675:Toxicity Tests / Q000379:methods*; D014874:Water Pollutants, Chemical / Q000032:analysis*
D009930:Organic Chemicals; D014874:Water Pollutants, Chemical