Statistical analysis of industrial-scale roller compactor 'Freund TF-MINI model'.

Area of Science:

• Pharmaceutical Engineering
• Materials Science
• Process Chemistry

Background:

• Roller compaction is a critical unit operation in pharmaceutical manufacturing for producing granules.
• Optimizing roller compaction parameters is essential for achieving desired granule properties and tablet quality.
• Understanding the relationship between process variables and product attributes is key for robust manufacturing.

Purpose of the Study:

• To statistically analyze and optimize an industrial-scale pharmaceutical roller compaction process.
• To model the roller compaction process using Response Surface Methodology (RSM) for enhanced control.
• To identify significant process parameters influencing ribbon and granule quality for tablet production.

Main Methods:

• Utilized an industrial-scale Freund TF-MINI roller compactor.
• Employed Response Surface Methodology (RSM) for process modeling and optimization.
• Investigated the effects of screw speed to roll speed ratio and roll pressure on quality attributes using Design-Expert V9.

Main Results:

• Identified screw speed to roll speed ratio and roll pressure as significant process parameters.
• Established statistically significant models correlating process parameters with ribbon density, granule size distribution (D10, D50, D90), fines content, and tablet hardness.
• Achieved optimized process parameters for producing high-quality tablets.

Conclusions:

• Response Surface Methodology (RSM) effectively models and optimizes the pharmaceutical roller compaction process.
• The study successfully determined critical process parameters for achieving desired ribbon and granule characteristics.
• Optimization of roller compaction parameters leads to the production of superior quality tablets.