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Scaling up of the fluidized bed granulation process
B Rambali1, L Baert, D L Massart
1Farmaceutisch Instituut, Vrije Universiteit Brussel, Laarbeeklaan 103, B-1090, Brussels, Belgium. bisoen.rambali@rivm.nl
International Journal of Pharmaceutics
|January 29, 2003
Summary
This study presents a systematic method for scaling up fluidized bed granulation, focusing on relative droplet size to achieve consistent granule size across different production scales. This approach moves beyond empirical methods for pharmaceutical manufacturing.
Area of Science:
- Pharmaceutical Engineering
- Chemical Engineering
- Particle Technology
Background:
- Fluidized bed granulation scale-up in pharmaceuticals is often empirical.
- Achieving consistent granule size during scale-up presents significant challenges.
- Existing methods lack a systematic approach for process transfer.
Purpose of the Study:
- To develop a practical and systematic method for scaling up fluidized bed granulation.
- To achieve a target geometric mean granule size of 400 micrometers in scaled-up processes.
- To validate the method across small (5 kg), medium (30 kg), and production (120 kg) scales.
Main Methods:
- Investigated the effect of relative droplet size on granule size in different fluid beds.
- Applied experimental design and developed regression models for scale-up from small to medium scale.
- Utilized relative droplet size and powder bed moisture content as key scaling parameters.
Main Results:
- The effect of relative droplet size on granule size varied between fluid bed systems.
- Regression models successfully predicted granule size for scale-up from small to medium scale.
- Successful scale-up to the production scale was achieved by considering relative droplet size.
Conclusions:
- A systematic approach based on relative droplet size enables predictable fluidized bed granulation scale-up.
- The developed method offers a practical alternative to empirical scale-up in pharmaceutical manufacturing.
- Consistent granule size can be achieved across different scales using this systematic methodology.