| Literature DB >> 28697389 |
Xuchun Qiu1, Wataru Tanoue2, Atsushi Kawaguchi3, Takashi Yanagawa4, Masanori Seki5, Yohei Shimasaki6, Tsuneo Honjo7, Yuji Oshima8.
Abstract
Organisms in natural environments are often exposed to a broad variety of chemicals, and the multi-chemical mixtures exposure may produce significant toxic effects, even though the individual chemicals are present at concentrations below their no-observed-effect concentrations. This study represents the first attempt that uses the accelerated failure time (AFT) model to quantify the interaction and toxicity of multi-chemical mixtures in environmental toxicology. We firstly conducted the acute immobilization tests with Daphnia magna exposed to mixtures of diazinon (DZN), fenitrothion (MEP); and thiobencarb (TB) in single, binary, and ternary formulations, and then fitted the results to the AFT model. The 48-h EC50 (concentration required to immobilize 50% of the daphnids at 48h) values for each pesticide obtained from the AFT model are within a factor of 2 of the corresponding values calculated from the single pesticide exposure tests, indicating the methodology is able to provide credible toxicity values. The AFT model revealed either significant synergistic (DZN and MEP; DZN and TB) or antagonistic (MEP and TB) interactions in binary mixtures, while the interaction pattern of ternary mixture depended on both the concentration levels and concentration ratios of pesticides. With a factor of 2, the AFT model accurately estimated the toxicities for 78% of binary mixture formulations that exhibited significant synergistic effects, and the toxicities for all the ternary formulations. Our results showed that the AFT model can provide a simple and efficient way to quantify the interactions between pesticides and to assess the toxicity of their mixtures. This ability may greatly facilitate the ecotoxicological risk assessment of exposure to multi-chemical mixtures.Entities:
Keywords: Accelerated failure time model; Acute immobilization tests; Antagonism; Daphnia magna; Interactive mixtures; Synergism
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Year: 2017 PMID: 28697389 DOI: 10.1016/j.scitotenv.2017.07.034
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963