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A Mechanistic Model for Predicting the Physical Stability of Amorphous Solid Dispersions
1Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M5S 3M2, Canada.
This study introduces a new mechanistic model to predict amorphous solid dispersion (ASD) stability. The model accurately forecasts drug recrystallization by integrating physical properties and kinetic factors, ensuring stable pharmaceutical formulations.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Physical Chemistry
Background:
- Amorphous solid dispersions (ASDs) enhance drug bioavailability by dissolving as a supersaturated solution.
- However, amorphous active pharmaceutical ingredients (APIs) can recrystallize during storage, compromising stability.
- Stabilizing ASDs requires understanding and predicting the kinetics of API recrystallization.
Purpose of the Study:
- To develop and validate a mechanistic model for predicting the physical stability of amorphous solid dispersions (ASDs).
- To incorporate fundamental physical parameters and kinetic/thermodynamic drivers into ASD stability simulations.
- To assess the utility of the model in forecasting recrystallization over extended storage periods.
Main Methods:
- Developed a mechanistic model using coupled differential equations to describe nucleation and growth processes in ASDs.
- Incorporated key physical parameters: supersaturation, diffusivity, and interfacial energy.
- Utilized dynamic mechanical analysis and viscosity measurements to determine API-dependent decoupling coefficients and probe molecular mobility.
- Prepared ASDs using hot melt extrusion (HME) and stored them under controlled temperature conditions to observe recrystallization kinetics.
Main Results:
- The mechanistic model successfully predicted temporal ASD stability by linking physiochemical properties to drug recrystallization.
- Experimental recrystallization kinetics aligned well with the model's predictions.
- The study highlighted the critical importance of considering both thermodynamic and kinetic factors for stable ASD formulation.
Conclusions:
- The developed mechanistic model provides a robust framework for predicting ASD physical stability.
- The model's accuracy confirms its value in understanding and preventing API recrystallization in pharmaceutical formulations.
- This approach aids in the rational design of stable amorphous solid dispersions with enhanced bioavailability.
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