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Updated: Jun 29, 2025

Formation of Dispersible Taohong Siwu Tablets
Published on: February 3, 2023
Flexible modelling of the dissolution performance of directly compressed tablets
Natalie Maclean1, John A Armstrong1, Mark A Carroll1
1Centre for Continuous Manufacturing and Advanced Crystallisation (CMAC), University of Strathclyde, Glasgow, UK; Strathclyde Institute of Pharmacy & Biomedical Sciences, University of Strathclyde, Glasgow, UK.
A new model predicts tablet dissolution by tracking drug particles through disintegration and dissolution stages. This approach aids early drug development and real-time quality control in manufacturing.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery Systems
- Physical Pharmacy
Background:
- Accurate prediction of drug dissolution from directly compressed tablets is crucial for pharmaceutical development.
- Existing models may not fully capture the complex interplay between tablet disintegration and drug dissolution.
- Understanding manufacturing effects on tablet performance is essential for quality control.
Purpose of the Study:
- To propose and evaluate a novel compartmental model for predicting tablet disintegration and dissolution.
- To link raw material properties to tablet performance in directly compressed dosage forms.
- To explore the model's utility for real-time release testing in continuous manufacturing.
Main Methods:
- Development of a three-compartment model (Bound, Disintegrated, Dissolved) for active pharmaceutical ingredient particles.
- Incorporation of three fitting parameters (β₀, βt,0, α) to describe tablet disintegration dynamics.
- Integration of the Nernst-Brunner equation with hydrodynamic effects for dissolution rate calculation in a USP II apparatus.
Main Results:
- The model successfully describes the disintegration and dissolution performance of directly compressed tablets.
- Key model parameters show strong correlations with tablet porosity, indicating sensitivity to manufacturing variables.
- The model utilizes fundamental active pharmaceutical ingredient properties (solubility, particle size, density) for early-stage predictions.
Conclusions:
- The proposed compartmental model offers a robust framework for evaluating tablet dissolution performance.
- The model's ability to correlate with manufacturing parameters supports its application in real-time release testing for continuous direct compression.
- This approach facilitates early development by leveraging inherent drug substance characteristics.
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