53 research outputs found

    Selection of Ionic Liquid Solvents for Chemical Separations Based on the Abraham Model

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    Book chapter on the selection of ionic liquid solvents for chemical separations based on the Abraham model

    Prediction of Partition Coefficients and Permeability of Drug Molecules in Biological Systems with Abraham Model Solute Descriptors Derived from Measured Solubilities and Water-to-Organic Solvent Partition Coefficients

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    Book chapter on the prediction of partition coefficients and permeability of drug molecules in biological systems with Abraham model solute descriptors derived from measured solubilities and water-to-organic solvent partition coefficients

    Equations for the Correlation and Prediction of Partition Coefcients of Neutral Molecules and Ionic Species in the Water-Isopropanol Solvent System

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    We use literature data on solubilities of 46 compounds in the water-isopropanol (IPA) system to obtain the corresponding partition coefficients, P, for transfer from water to water- IPA mixtures. We have then used our previously constructed linear free energy equation to obtain equations that correlate log10 P at water-IPA intervals across the entire water-IPA system. These equations can then be used to predict partition coefficients and solubilities of further compounds in the water-IPA systems at 298 K. The coefficients in our linear free energy equation encode information on the physicochemical properties of the water- IPA mixtures. We show that the hydrogen bond basicity of the water-IPA mixtures only increases slightly from water to IPA, but that the hydrogen bond acidity of the mixtures decreases markedly from water to IPA in a smooth continuous manner. We have also used data on ions and on ionic species to set out equations for the estimation of their partition coefficients from water to water-IPA mixtures. We find that for partition from water to IPA itself, log10 P = − 1.81 for H+

    Air to Blood Distribution of Volatile Organic Compounds: A Linear Free Energy Analysis

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    Partition coefficients, K blood , for volatile organic compounds from air to blood have been collected for 155 compounds (air to human blood) and 127 compounds (air to rat blood). For 86 common compounds, the average error, AE, between the two sets of log K blood values is 0.12 log units, somewhat smaller than our estimated interlaboratory average SD value of around 0.16 log units. We conclude that with regard to experimental errors, there is no significant difference between K blood values in human blood and in rat blood. There are 196 compounds for which either or both K blood (human) and K blood (rat) are available. A training set of 98 compounds could be fitted with the Abraham solvation parameters with R 2 ) 0.933 and SD ) 0.34 log units. The training equation was then used to predict the test set of values with AE ) 0.04 log units, SD ) 0.33 log units, and an average absolute error, AAE, of 0.25 log units. A second training and test set yielded similar values: AE ) 0.01, SD ) 0.39, and AAE ) 0.29 log units. It is concluded that it is possible to construct an equation capable of predicting further values of log K blood to around 0.30 log units. Because the descriptors used in the correlation equations can be predicted from structure, it is now possible to predict log K blood for any chemical structure

    MATHEMATICAL CORRELATIONS FOR DESCRIBING ENTHALPIES OF SOLVATION OF ORGANIC VAPORS AND GASEOUS SOLUTES INTO IONIC LIQUID SOLVENTS

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    KEY WORDS AND PHRASES: Enthalpy of solvation, ionic liquid, linear solvation energy relationship, solute descriptor

    Predicting Abraham model solvent coefficients

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    Abstract Background: The Abraham general solvation model can be used in a broad set of scenarios involving partitioning and solubility, yet is limited to a set of solvents with measured Abraham coefficients. Here we extend the range of applicability of Abraham's model by creating open models that can be used to predict the solvent coefficients for all organic solvents. Results: We created open random forest models for the solvent coefficients e, s, a, b, and v that had out-of-bag
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