Literature DB >> 25728357

Quantitative structure-activity relationship (QSAR) prediction of (eco)toxicity of short aliphatic protic ionic liquids.

Brezana Peric1, Jordi Sierra2, Esther Martí2, Robert Cruañas2, Maria Antonia Garau2.   

Abstract

Ionic liquids (ILs) are considered as a group of very promising compounds due to their excellent properties (practical non-volatility, high thermal stability and very good and diverse solving capacity). The ILs have a good prospect of replacing traditional organic solvents in vast variety of applications. However, the complete information on their environmental impact is still not available. There is also an enormous number of possible combinations of anions and cations which can form ILs, the fact that requires a method allowing the prediction of toxicity of existing and potential ILs. In this study, a group contribution QSAR model has been used in order to predict the (eco)toxicity of protic and aprotic ILs for five tests (Microtox®, Pseudokirchneriella subcapitata and Lemna minor growth inhibition test, and Acetylcholinestherase inhibition and Cell viability assay with IPC-81 cells). The predicted and experimental toxicity are well correlated. A prediction of EC50 for these (eco)toxicity tests has also been made for eight representatives of the new family of short aliphatic protic ILs, whose toxicity has not been determined experimentally to date. The QSAR model applied in this study can allow the selection of potentially less toxic ILs amongst the existing ones (e.g. in the case of aprotic ILs), but it can also be very helpful in directing the synthesis efforts toward developing new "greener" ILs respectful with the environment (e.g. short aliphatic protic ILs).
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acetylcholinesterase inhibition; Aquatic ecotoxicity; Cytotoxicity; Group contribution; Ionic liquids; QSAR modelling

Mesh:

Substances:

Year:  2015        PMID: 25728357     DOI: 10.1016/j.ecoenv.2015.02.027

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  6 in total

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Authors:  Alla P Toropova; Andrey A Toropov
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2.  A QSPR approach to the ecotoxicity of ionic liquids (Vibrio fischeri) using VolSurf principal properties.

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Review 4.  Ionic Liquids-A Review of Their Toxicity to Living Organisms.

Authors:  Ana R P Gonçalves; Xavier Paredes; A F Cristino; F J V Santos; Carla S G P Queirós
Journal:  Int J Mol Sci       Date:  2021-05-25       Impact factor: 5.923

5.  Machine learning-based prediction of toxicity of organic compounds towards fathead minnow.

Authors:  Xingmei Chen; Limin Dang; Hai Yang; Xianwei Huang; Xinliang Yu
Journal:  RSC Adv       Date:  2020-10-01       Impact factor: 4.036

6.  Comprehensive ensemble in QSAR prediction for drug discovery.

Authors:  Sunyoung Kwon; Ho Bae; Jeonghee Jo; Sungroh Yoon
Journal:  BMC Bioinformatics       Date:  2019-10-26       Impact factor: 3.169

  6 in total

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