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Extended Hansen approach: calculating partial solubility parameters of solid solutes

P L Wu, A Beerbower, A Martin

    Journal of Pharmaceutical Sciences
    |November 1, 1982
    PubMed
    Summary

    The extended Hansen solubility approach estimates solubility parameters for crystalline solutes, overcoming limitations with decomposing organic compounds. This method provides partial solubility parameters and calculates solute solubility in various solvents.

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    Area of Science:

    • Physical Chemistry
    • Materials Science
    • Chemical Engineering

    Background:

    • Determining solubility parameters for crystalline organic compounds is challenging due to decomposition near melting points.
    • Traditional methods for liquid solvents are unsuitable for solid compounds.
    • Accurate solubility parameters are crucial for predicting and understanding solute-solvent interactions.

    Purpose of the Study:

    • To introduce and validate the extended Hansen solubility approach for estimating partial solubility parameters (delta d, delta p, delta h) of crystalline solutes.
    • To assess the method's applicability and limitations for various organic compounds.
    • To demonstrate the utility of the regression equations for calculating solute solubility.

    Main Methods:

    • Application of a multiple linear regression technique, termed the extended Hansen solubility approach.

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  • Estimation of partial solubility parameters (delta d, delta p, delta h) for crystalline solutes.
  • Validation using naphthalene and related organic compounds.

    • Main Results:

    • The extended Hansen solubility approach successfully estimated partial and total solubility parameters for naphthalene.
    • Less satisfactory results were observed for some related crystalline compounds.
    • The method requires adherence to specific conditions regarding the regression equation and solvent systems for reliable parameter estimation.

    Conclusions:

    • The extended Hansen solubility approach offers a viable method for determining solubility parameters of crystalline solutes, especially when melting point methods fail.
    • The developed regression equations can predict solute solubility in both polar and nonpolar solvents.
    • Further refinement and validation may be needed for broader applicability to diverse crystalline compounds.