Application of Dominance-Based Rough Set Approach for Optimization of Pellets Tableting Process
Maciej Karolak1, Łukasz Pałkowski1, Bartłomiej Kubiak2
1Department of Pharmaceutical Technology, Collegium Medicum, Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.
Multiple-unit pellet systems (MUPS) maintain drug release profiles after tableting. Optimal formulation involves specific polymer coatings, compression forces above 6 kN, and excipients like microcrystalline cellulose for consistent API delivery.
Area of Science:
- Pharmaceutical Technology
- Materials Science
Background:
- Multiple-unit pellet systems (MUPS) offer advantages over conventional solid dosage forms.
- MUPS enable controlled release of active pharmaceutical ingredients (APIs) and patient convenience.
- Maintaining API release profiles during MUPS compression is a significant challenge.
Purpose of the Study:
- To explore relationships between formulation/process parameters and MUPS quality.
- To apply data mining (dominance-based rough set approach - DRSA) to identify critical factors for API release.
- To discover cause-effect relationships for optimal MUPS development.
Main Methods:
- Application of dominance-based rough set approach (DRSA) for data mining.
- Analysis of MUPS composition, properties, and process parameters.
- Evaluation of API release profile using similarity factor (f2).
Main Results:
- DRSA generated decision rules linking formulation and process attributes to API release.
- Optimal conditions include specific polymer coatings (Eudragit NE, no ethyl cellulose), compression force >6 kN, Avicel 102 excipient, and tablet hardness ≥42.4 N.
- These conditions ensure similar API release profiles before and after tableting.
Conclusions:
- DRSA is effective for analyzing complex pharmaceutical technological data.
- Identified decision rules aid technologists in optimizing MUPS formulation development.
- Proper selection of polymers, compression force, excipients, and hardness ensures consistent drug release from MUPS.
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