Literature DB >> 21794892

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

M Ismail Hossain1, Brahim Belhaouari Samir, Mohanad El-Harbawi, Asiah Nusaibah Masri, M I Abdul Mutalib, Glenn Hefter, Chun-Yang Yin.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21794892     DOI: 10.1016/j.chemosphere.2011.06.088

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

1.  Nonlinear QSAR modeling for predicting cytotoxicity of ionic liquids in leukemia rat cell line: an aid to green chemicals designing.

Authors:  Shikha Gupta; Nikita Basant; Kunwar P Singh
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-28       Impact factor: 4.223

Review 2.  Advances in QSPR/QSTR models of ionic liquids for the design of greener solvents of the future.

Authors:  Rudra Narayan Das; Kunal Roy
Journal:  Mol Divers       Date:  2013-01-17       Impact factor: 2.943

3.  Predictive QSAR modelling of algal toxicity of ionic liquids and its interspecies correlation with Daphnia toxicity.

Authors:  Kunal Roy; Rudra Narayan Das; Paul L A Popelier
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-21       Impact factor: 4.223

4.  Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity.

Authors:  Mapopa Chipofya; Hilal Tayara; Kil To Chong
Journal:  Int J Mol Sci       Date:  2022-05-09       Impact factor: 6.208

5.  Comprehensive approach for predicting toxicological effects of ionic liquids on several biological systems using unified descriptors.

Authors:  Chul-Woong Cho; Stefan Stolte; Yeoung-Sang Yun
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

6.  Computational approaches to chemical hazard assessment.

Authors:  Thomas Luechtefeld; Thomas Hartung
Journal:  ALTEX       Date:  2017       Impact factor: 6.043

  6 in total

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