What question did this study set out to answer?

This research aims to develop a model that predicts the compaction profiles of non-compressible active pharmaceutical ingredients (APIs).

May 25, 2026International Journal of PharmaceuticsOpen Access

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

View Full Paper

Ask AI

Bookmark

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.

Implication

Predictive model develops compaction profiles for APIs, indicating new design tools for tablets.

Abstract

• A predictive model for compaction profiles of non-compressible APIs was developed. • Successfully validated using five APIs with diverse mechanical deformation behaviours. • Provides a practical digital design tool for multi-component tablet formulations.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/6a13e7cf0e02ee3982d3261d https://doi.org/10.1016/j.ijpharm.2026.127000

View Full Paper

Ask AI

Bookmark

Implication

Predictive model develops compaction profiles for APIs, indicating new design tools for tablets.

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading