Development of a novel mathematical model using a group contribution method for prediction of ionic liquid toxicities

Ismail Hossain, M. and Samir, B.B. and El-Harbawi, M. and Masri, A.N. and Abdul Mutalib, M.I. and Hefter, G. and Yin, C.-Y. (2011) Development of a novel mathematical model using a group contribution method for prediction of ionic liquid toxicities. Chemosphere, 85 (6). pp. 990-994. ISSN 00456535

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Abstract

A new mathematical model has been developed that expresses the toxicities (EC50 values) of a wide variety of ionic liquids (ILs) towards the freshwater flea Daphnia magna by means of a quantitative structure-activity relationship (QSAR). The data were analyzed using summed contributions from the cations, their alkyl substituents and anions. The model employed multiple linear regression analysis with polynomial model using the MATLAB software. The model predicted IL toxicities with R2=0.974 and standard error of estimate of 0.028. This model affords a practical, cost-effective and convenient alternative to experimental ecotoxicological assessment of many ILs. © 2011 Elsevier Ltd.

Item Type: Article
Additional Information: cited By 62
Uncontrolled Keywords: Cost effectiveness; Ionic liquids; Linear regression; MATLAB; Toxicity, Convenient alternatives; Daphnia magna; Ecotoxicity; Ecotoxicological assessment; Group contribution method; Multiple linear regression analysis; QSAR; Quantitative structure-activity relationships, Computational chemistry, alkyl group; anion; cation; ionic liquid, anion; crustacean; data set; ecotoxicology; freshwater environment; ion; linearity; mathematical analysis; numerical model; quantitative analysis; regression analysis; software; toxicity, article; computer program; cost effectiveness analysis; Daphnia; data analysis; ecotoxicology; mathematical model; multiple linear regression analysis; nonhuman; quantitative structure activity relation; toxicity, Daphnia magna; Siphonaptera (fleas)
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:50
Last Modified: 09 Nov 2023 15:50
URI: https://khub.utp.edu.my/scholars/id/eprint/2330

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