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Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution
Polydimethylsiloxane (PDMS) is commonly used as the coated polymer in the solid phase microextraction (SPME) technique. In this study, the partition coefficients of organic compounds between SPME/PDMS and the aqueous solution were compiled from the literature sources. The correlation analysis for pa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958869/ https://www.ncbi.nlm.nih.gov/pubmed/24534804 http://dx.doi.org/10.3390/ijms15022585 |
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author | Chao, Keh-Ping Lu, Yu-Ting Yang, Hsiu-Wen |
author_facet | Chao, Keh-Ping Lu, Yu-Ting Yang, Hsiu-Wen |
author_sort | Chao, Keh-Ping |
collection | PubMed |
description | Polydimethylsiloxane (PDMS) is commonly used as the coated polymer in the solid phase microextraction (SPME) technique. In this study, the partition coefficients of organic compounds between SPME/PDMS and the aqueous solution were compiled from the literature sources. The correlation analysis for partition coefficients was conducted to interpret the effect of their physicochemical properties and descriptors on the partitioning process. The PDMS-water partition coefficients were significantly correlated to the polarizability of organic compounds (r = 0.977, p < 0.05). An empirical model, consisting of the polarizability, the molecular connectivity index, and an indicator variable, was developed to appropriately predict the partition coefficients of 61 organic compounds for the training set. The predictive ability of the empirical model was demonstrated by using it on a test set of 26 chemicals not included in the training set. The empirical model, applying the straightforward calculated molecular descriptors, for estimating the PDMS-water partition coefficient will contribute to the practical applications of the SPME technique. |
format | Online Article Text |
id | pubmed-3958869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-39588692014-03-20 Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution Chao, Keh-Ping Lu, Yu-Ting Yang, Hsiu-Wen Int J Mol Sci Article Polydimethylsiloxane (PDMS) is commonly used as the coated polymer in the solid phase microextraction (SPME) technique. In this study, the partition coefficients of organic compounds between SPME/PDMS and the aqueous solution were compiled from the literature sources. The correlation analysis for partition coefficients was conducted to interpret the effect of their physicochemical properties and descriptors on the partitioning process. The PDMS-water partition coefficients were significantly correlated to the polarizability of organic compounds (r = 0.977, p < 0.05). An empirical model, consisting of the polarizability, the molecular connectivity index, and an indicator variable, was developed to appropriately predict the partition coefficients of 61 organic compounds for the training set. The predictive ability of the empirical model was demonstrated by using it on a test set of 26 chemicals not included in the training set. The empirical model, applying the straightforward calculated molecular descriptors, for estimating the PDMS-water partition coefficient will contribute to the practical applications of the SPME technique. Molecular Diversity Preservation International (MDPI) 2014-02-14 /pmc/articles/PMC3958869/ /pubmed/24534804 http://dx.doi.org/10.3390/ijms15022585 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Chao, Keh-Ping Lu, Yu-Ting Yang, Hsiu-Wen Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title | Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title_full | Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title_fullStr | Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title_full_unstemmed | Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title_short | Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution |
title_sort | prediction of partition coefficients of organic compounds between spme/pdms and aqueous solution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958869/ https://www.ncbi.nlm.nih.gov/pubmed/24534804 http://dx.doi.org/10.3390/ijms15022585 |
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