Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.

The water-R134a partition coefficients for a set of 11 organic solutes have been measured using a high-pressure, spectroscopic technique. Water partition coefficients of the organic solutes were measured in the gas and supercritical phases of R134a. A linear solvation energy relationship (LSER) was developed to predict the measured water-R134a partition coefficients using the Kamlet-Taft descriptors of the solute and solvent molecules as independent variables. Considering the entire water-R134a partition coefficient data, the LSER model has an average absolute relative deviation of 30%. Only considering the data above the critical density of R134a, the LSER has an average absolute relative deviation of 17.5%.

Main Author: Lagalante, Anthony.
Other Authors: Clarke, Adam., Bruno, Thomas.
Format: Villanova Faculty Authorship
Language: English
Published: 1998
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:177895
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dc_source_str_mv Journal of Physical Chemistry, B, 102(44), October 1998, 8889-8892.
author Lagalante, Anthony.
author_facet_str_mv Lagalante, Anthony.
Clarke, Adam.
Bruno, Thomas.
author_or_contributor_facet_str_mv Lagalante, Anthony.
Clarke, Adam.
Bruno, Thomas.
author_s Lagalante, Anthony.
spellingShingle Lagalante, Anthony.
Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
author-letter Lagalante, Anthony.
author_sort_str Lagalante, Anthony.
author2 Clarke, Adam.
Bruno, Thomas.
author2Str Clarke, Adam.
Bruno, Thomas.
dc_title_str Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
title Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
title_short Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
title_full Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
title_fullStr Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
title_full_unstemmed Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
collection_title_sort_str modeling the water-r143a partition coefficients of organic solutes using a linear solvation energy relationship.
title_sort modeling the water-r143a partition coefficients of organic solutes using a linear solvation energy relationship.
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description The water-R134a partition coefficients for a set of 11 organic solutes have been measured using a high-pressure, spectroscopic technique. Water partition coefficients of the organic solutes were measured in the gas and supercritical phases of R134a. A linear solvation energy relationship (LSER) was developed to predict the measured water-R134a partition coefficients using the Kamlet-Taft descriptors of the solute and solvent molecules as independent variables. Considering the entire water-R134a partition coefficient data, the LSER model has an average absolute relative deviation of 30%. Only considering the data above the critical density of R134a, the LSER has an average absolute relative deviation of 17.5%.
publishDate 1998
normalized_sort_date 1998-01-01T00:00:00Z
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fgs.label Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
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dc.title Modeling the water-R143a partition coefficients of organic solutes using a linear solvation energy relationship.
dc.creator Lagalante, Anthony.
Clarke, Adam.
Bruno, Thomas.
dc.description The water-R134a partition coefficients for a set of 11 organic solutes have been measured using a high-pressure, spectroscopic technique. Water partition coefficients of the organic solutes were measured in the gas and supercritical phases of R134a. A linear solvation energy relationship (LSER) was developed to predict the measured water-R134a partition coefficients using the Kamlet-Taft descriptors of the solute and solvent molecules as independent variables. Considering the entire water-R134a partition coefficient data, the LSER model has an average absolute relative deviation of 30%. Only considering the data above the critical density of R134a, the LSER has an average absolute relative deviation of 17.5%.
dc.date 1998
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dc.source Journal of Physical Chemistry, B, 102(44), October 1998, 8889-8892.
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