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Updated: Nov 18, 2025

A Package of Established Analytical Tools to Investigate the Solid-State Alteration of Lipid-Based Excipients
Published on: August 9, 2022
A moving-boundary model of dissolution from binary drug-excipient granules incorporating microstructure
Kevin M Moroney1, Lalith Kotamarthy2, Indu Muthancheri2
1Synthesis and Solid State Pharmaceutical Centre (SSPC), Bernal Institute, University of Limerick, Ireland; MACSI, Department of Mathematics and Statistics, University of Limerick, Ireland.
This study validates a drug dissolution model for spherical granules, accounting for variations in porosity and drug load. The model accurately predicts drug release, aiding pharmaceutical formulation development.
Area of Science:
- Pharmaceutical Sciences
- Chemical Engineering
- Materials Science
Background:
- Drug release from granules is crucial for formulation development.
- Granulation processes can introduce variations in granule porosity and drug load.
- Existing models may not fully capture these variations.
Purpose of the Study:
- To analyze and validate a mechanistic model for drug release from single spherical granules.
- To incorporate radial variations in porosity and drug load within the model.
- To extend the model for polydisperse granule collections and compare it with existing methods.
Main Methods:
- Model development and specialization for high drug load scenarios.
- Validation using literature data for acetaminophen and microcrystalline cellulose granules.
- Derivation of an extended model for polydisperse systems and comparison with single particle models.
Main Results:
- The model accurately describes drug release from granules with radially varying porosity and drug load.
- The specialized model simplifies to an ODE for a shrinking, drug-saturated core.
- The extended model shows improved performance for polydisperse systems compared to equivalent spherical diameter models.
Conclusions:
- The developed model offers a novel tool for exploring dissolution parameter space.
- It allows for the consideration of manufacturing-induced variations in granule properties.
- This enhances the understanding and prediction of drug release behavior in pharmaceutical formulations.
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