Literature DB >> 23768535

Estimation of the environmental properties of compounds from chromatographic measurements and the solvation parameter model.

Colin F Poole1, Thiloka C Ariyasena, Nicole Lenca.   

Abstract

This article provides an overview of chromatographic methods as surrogate models for environmental processes and for the determination of descriptors for compounds of environmental interest. The solvation parameter model is the link to the identification of suitable chromatographic models for the estimation of environmental properties using a set of tools that allow screening of chromatographic databases for the selection of candidate systems. As an alternative approach, many transport and distribution properties of environmental interest can be described directly by the solvation parameter model. Environmental properties for compounds with known descriptors can then be predicted through these models. The central role chromatographic methods, together with liquid-liquid partition coefficients, occupy in the determination of the six descriptors used in the solvation parameter model is detailed. There is a current need to accelerate efforts to expand the coverage of environmental process models by incorporating more complex molecules of contemporary environmental interest. For many of these molecules descriptor values are unavailable and their determination should be prioritized.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  Environmental properties; Gas chromatography; Liquid chromatography; Micellar electrokinetic chromatography; Quantitative retention–property relationships; Solvation parameter model

Mesh:

Substances:

Year:  2013        PMID: 23768535     DOI: 10.1016/j.chroma.2013.05.045

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

Review 1.  Ionic Liquids: Emerging Antimicrobial Agents.

Authors:  Zhezheng Fang; Xianzi Zheng; Lu Li; Jianping Qi; Wei Wu; Yi Lu
Journal:  Pharm Res       Date:  2022-07-25       Impact factor: 4.580

2.  Determination of soil-water sorption coefficients of volatile methylsiloxanes.

Authors:  Gary E Kozerski; Shihe Xu; Julie Miller; Jeremy Durham
Journal:  Environ Toxicol Chem       Date:  2014-08-04       Impact factor: 3.742

3.  Development and evaluation of two-parameter linear free energy models for the prediction of human skin permeability coefficient of neutral organic chemicals.

Authors:  Sana Naseem; Yasuyuki Zushi; Deedar Nabi
Journal:  J Cheminform       Date:  2021-03-19       Impact factor: 5.514

4.  Applicability Domain of Polyparameter Linear Free Energy Relationship Models Evaluated by Leverage and Prediction Interval Calculation.

Authors:  Satoshi Endo
Journal:  Environ Sci Technol       Date:  2022-04-14       Impact factor: 9.028

5.  Combining Experimental Sorption Parameters with QSAR to Predict Neonicotinoid and Transformation Product Sorption to Carbon Nanotubes and Granular Activated Carbon.

Authors:  Danielle T Webb; Matthew R Nagorzanski; David M Cwiertny; Gregory H LeFevre
Journal:  ACS ES T Water       Date:  2022-01-05
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.