New method for characterizing dissolution properties of drug powders

Area of Science:

• Pharmaceutical Sciences
• Physical Chemistry
• Drug Delivery

Background:

• Micronized glyburide dissolution is critical for bioavailability.
• Existing dissolution models may not fully capture particle size distribution effects.
• Accurate characterization of drug dissolution is essential for quality control.

Purpose of the Study:

• To fit multiparticulate dissolution models to micronized glyburide dissolution data.
• To estimate parameters describing particle-size distribution and specific dissolution rate.
• To identify the best-fitting dissolution model for micronized glyburide.

Main Methods:

• Nonlinear least-squares regression analysis was employed.
• Various multiparticulate dissolution models assuming log-normal particle-size distribution were tested.
• Data from micronized glyburide dissolution experiments were utilized.

Main Results:

• An untruncated log-normal distribution model, with particles dissolving via the Hixson-Crowell cube root law, provided the best fit.
• The model accurately described glyburide dissolution using a specific dissolution rate parameter and a distribution effect parameter.
• Estimates of effective initial particle-size distribution parameters were obtained.

Conclusions:

• The selected log-normal distribution model offers a precise method for characterizing drug powder dissolution.
• This approach enhances the description of dissolution characteristics compared to previous methods.
• The findings are valuable for quality control of drugs with potential dissolution rate-limited absorption issues.