Literature DB >> 26530890

Filling environmental data gaps with QSPR for ionic liquids: Modeling n-octanol/water coefficient.

Anna Rybinska1, Anita Sosnowska1, Monika Grzonkowska1, Maciej Barycki1, Tomasz Puzyn2.   

Abstract

Ionic liquids (ILs) form a wide group of compounds characterized by specific properties that allow using ILs in different fields of science and industry. Regarding that the growing production and use of ionic liquids increase probability of their emission to the environment, it is important to estimate the ability of these compounds to spread in the environment. One of the most important parameters that allow evaluating environmental mobility of compound is n-octanol/water partition coefficient (KOW). Experimental measuring of the KOW values for a large number of compounds could be time consuming and costly. Instead, computational predictions are nowadays being used more often. The paper presents new Quantitative Structure-Property Relationship (QSPR) model that allows predicting the logarithmic values of KOW for 335 ILs, for which the experimentally measured values had been unavailable. We also estimated bioaccumulation potential and point out which group of ILs could have negative impact on environment.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ILs; Ionic liquids; K(OW); Octanol–water partition coefficient; QSPR

Mesh:

Substances:

Year:  2015        PMID: 26530890     DOI: 10.1016/j.jhazmat.2015.10.023

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

1.  ILPC: simple chemometric tool supporting the design of ionic liquids.

Authors:  Maciej Barycki; Anita Sosnowska; Magdalena Piotrowska; Piotr Urbaszek; Anna Rybinska; Monika Grzonkowska; Tomasz Puzyn
Journal:  J Cheminform       Date:  2016-08-19       Impact factor: 5.514

2.  Predicting the Toxicity of Ionic Liquids toward Acetylcholinesterase Enzymes Using Novel QSAR Models.

Authors:  Peng Zhu; Xuejing Kang; Yongsheng Zhao; Ullah Latif; Hongzhong Zhang
Journal:  Int J Mol Sci       Date:  2019-05-02       Impact factor: 5.923

  2 in total

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