Optimization of self-microemulsifying drug delivery systems (SMEDDS) using a D-optimal design and the desirability function

R. Holm, I.H.M. Jensen, Jørn Sonnergaard

    54 Citations (Scopus)

    Abstract

    D-optimal design and the desirability function were applied to optimize a self-microemulsifying drug delivery system (SMEDDS). The optimized key parameters were the following: 1) particle size of the dispersed emulsion, 2) solubility of the drug in the vehicle, and 3) the vehicle compatibility with the hard gelatin capsule. Three formulation variables, PEG200, a surfactant mixture, and an oil mixture, were included in the experimental design. The results of the mathematical analysis of the data demonstrated significant interactions among the formulation variables, and the desirability function was demonstrated to be a powerful tool to predict the optimal formulation for the explored system.
    Original languageEnglish
    JournalDrug Development and Industrial Pharmacy
    Volume32
    Issue number9
    Pages (from-to)1025-1032
    Number of pages8
    ISSN0363-9045
    DOIs
    Publication statusPublished - 1 Oct 2006

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