Predicting the compressibility and compactibility profiles of pharmaceutical active ingredients for design of multi-component tablets

Key Points

• This research aims to develop a model that predicts the compaction profiles of non-compressible active pharmaceutical ingredients (APIs).
• Developed a predictive model for non-compressible APIs.
• Validated the model using five APIs with varying mechanical deformation behaviors.
• Provided a digital design tool for tablet formulation.
• Successfully validated the model with five diverse APIs.
• Demonstrated effective prediction of compaction profiles.
• Enabled practical digital design for multi-component tablet formulations.