Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 28, Issue 36, Pages 50731-50746Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-14107-x
Keywords
Quantitative structure-activity relationship (QSAR); Acute toxicity; Anionic surfactant; EC50; Multiple linear regression
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Funding
- School of Public Health of the Yazd Shahid Sadoughi University of Medical Science
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The study utilized a QSAR tool to simulate the EC50 of anionic surfactants on Daphnia magna, resulting in the best model including 3 variables: the number of carbons, hydrogens, and the octanol-water partition coefficient logarithm. The octanol-water partition coefficient logarithm descriptor had the most significant contribution to toxicity of surfactants.
The median effective concentration (EC50) is the concentration of a substance expected to produce a specific effect in 50% of the populations with a certain density under defined conditions. This parameter is expressed as an acute toxicity and is obtained via chemical toxicity testing. But, the laboratory work is time-consuming, expensive, and not eco-friendly. Therefore, to predict EC50 for new anionic surfactants, a quantitative structure-activity relationship (QSAR) tool was studied for modeling the EC50 of anionic surfactants on Daphnia magna based on the molecular descriptors. The best model (R-2 = 0.901 and F = 118.077, p<0.01) included 3 variables of the number of carbons, hydrogens, and the octanol-water partition coefficient logarithm. The main contribution to the toxicity was the octanol-water partition coefficient logarithm descriptor that had a negative effect on the toxicity of surfactants. The QSAR approach exhibited good results in predicting anionic surfactants EC50, which allows the building of a simple, valid, and interpretable model that can be utilized as potential tools for rapidly predicting the lnEC50 of new or untested anionic surfactants to Daphnia magna.
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