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Application of multivariate methods to compression behavior evaluation of directly compressible materials
Rahul V Haware1, Ingunn Tho, Annette Bauer-Brandl
1Department of Pharmacy, Section of Pharamaceutics and Biopharamaceutics, University of Tromsø, Tromsø, Norway.
Summary
This study introduces a mathematical approach to predict tablet properties using continuous compression profiles. It quantifies compression behavior, aiding in the development of tablet formulations.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Chemical Engineering
Background:
- Understanding powder compaction is crucial for tablet formulation.
- Direct compression excipients exhibit diverse mechanical properties (plastic, elastic, fragmentary).
- Predicting tablet properties requires robust analytical methods.
Purpose of the Study:
- To describe and predict compaction and tablet properties.
- To characterize the effects of formulation and process parameters on direct compression excipients.
- To develop a quantitative approach for tablet formulation development.
Main Methods:
- Utilized mathematical descriptors and multivariate analysis (PCA, PLS-2, PLS-1) on continuous compression profiles.
- Applied 2(3)-Full factorial designs with centre points for key excipients.
- Derived Heckel equation and work-related parameters from compaction simulator data.
Main Results:
- PCA revealed negative correlations between Hausner ratio, work of compression (WoC), and tensile strength (TS) with yield pressure (YPpl), elastic deformation (YPel), and powder properties.
- PLS-2 models successfully correlated design variables with response variables.
- Optimized PLS-1 models quantified key responses like WoC, TS, YPpl, and YPel.
Conclusions:
- The developed approach effectively quantifies powder compression behavior.
- This method serves as a valuable tool for tablet formulation development.
- Predictive modeling enhances understanding of excipient performance in tablet manufacturing.
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