Evaluation of a convective diffusion drug dissolution rate model.

Area of Science:

• Pharmaceutical Science
• Chemical Engineering
• Physical Chemistry

Background:

• Accurate prediction of drug dissolution rates is crucial for pharmaceutical development.
• Existing models may not fully capture the complex interplay of factors influencing dissolution.
• A novel convective diffusion model offers a potential improvement.

Purpose of the Study:

• To experimentally validate a new drug dissolution rate model based on convective diffusion.
• To assess the model's accuracy across various physicochemical and hydrodynamic parameters.

Main Methods:

• Utilized a dissolution cell designed to ensure laminar flow over the dissolving surface.
• Employed alkyl p-aminobenzoates as model compounds.
• Experimentally determined dissolution rates and compared them with model predictions.

Main Results:

• The convective diffusion model demonstrated satisfactory agreement with experimental data.
• The model accurately predicted the functional dependence of dissolution rate on key parameters.
• The model's predictions aligned well with the observed magnitudes of dissolution rates.

Conclusions:

• The convective diffusion model provides a reliable framework for predicting drug dissolution rates.
• Experimental validation supports the model's utility in pharmaceutical research and development.
• The model effectively integrates parameters like diffusivity, solubility, and hydrodynamics.