Abstract
Amide herbicides have been widely applied in agriculture and found to be widespread and affect nontarget organisms in the environment. To better understand the biotoxicity mechanisms and determine the toxicity to the nontarget organisms for the hazard and risk assessment, five QSAR models were developed for the biotoxicity prediction of amide herbicides toward five aquatic and terrestrial organisms (including algae, daphnia, fish, earthworm and avian species), based on toxicity concentration and quantitative molecular descriptors. The results showed that the developed models complied with OECD principles for QSAR validation and presented excellent performances in predictive ability. In combination, the investigated QSAR relationship led to the toxicity mechanisms that eleven electrical descriptors (EHOMO, ELUMO, αxx, αyy, αzz, μ, qN−, Qxx, Qyy, qH+, and q−), four thermodynamic descriptors (Cv, Sθ, Hθ, and ZPVE), and one steric descriptor (Vm) were strongly associated with the biotoxicity of amide herbicides. Electrical descriptors showed the greatest impacts on the toxicity of amide herbicides, followed by thermodynamic and steric descriptors.
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Acknowledgements
This study was supported by the CNPC Research Institute Safety & Environmental Technology Programme (2021DJ6605), the National Natural Science Foundation of China (Grant No. 41472124), PetroChina Innovation Foundation (Grant No. 2015D-5006-0210, NO. 2016D-5007-0702), and the Yangtze Talents Fund [2020-2023].
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Wang, K., Lv, Y., He, M. et al. A Quantitative Structure-Activity Relationship Approach to Determine Biotoxicity of Amide Herbicides for Ecotoxicological Risk Assessment. Arch Environ Contam Toxicol 84, 214–226 (2023). https://doi.org/10.1007/s00244-023-00980-9
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DOI: https://doi.org/10.1007/s00244-023-00980-9