Kinetic Modeling to Explain the Release of Medicine from Drug Delivery Systems

Abstract

Proper medication dissolution must be ensured when developing or manufacturing a new solid dosage form. Quantitative analyses performed in dissolution or release tests become simpler when applying mathematical formulae which represent dissolution outcomes as a function of several dosage form properties. Methodologies utilized to examine the kinetics of drug release from controlled-release formulations are reviewed. The analysis of variance was conducted using statistical, model-independent, and -dependent techniques for the dissolution profile comparison and fitting, respectively. Model equations, including zero- and first-order, Hixson-Crowell, Weibull, Higuchi, Korsmeyer-Peppas, Baker-Lonsdale, Hopfenberg, etc., were employed to match the experimental data. Additional release parameters were taken to illustrate the drug release patterns. Using correlation factors and the Akaike information criterion (AIC), the best-fitting model was discovered, as were the transport phenomena affecting the behavior of the recognized formulations.