Predicting the compressibility and compactibility profiles of pharmaceutical active ingredients for design of multi-component tablets - PubMed
3 hours ago
- #compressibility prediction
- #active ingredients
- #pharmaceutical tablets
- Presents a method to predict compressibility and compactibility profiles of APIs unsuitable for direct compaction.
- Uses additive volume fractions and geometric mean mixing rule applied to binary mixtures with microcrystalline cellulose.
- Models were derived from 'out-of-die' compaction data for five APIs with diverse mechanical properties.
- Successfully predicted tablet solid fractions (within ±5%) and tensile strengths (errors ±20% to ±50%) for binary and ternary mixtures.
- Provides a digital design tool for multi-component tablet formulation based on constituent material properties.