Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an
Selina Ramm1, Ruwen Fulek1, Veronika Anna Eberle2
1Department of Life Science Technologies, OWL University of Applied Sciences and Arts, Campusallee 12, 32657 Lemgo, Germany.
Pharmaceutics
|November 11, 2022
Summary
This study introduces compression density as a key metric for optimizing wet granulation liquid requirements in pellet production. This method ensures high-quality pellets by predicting optimal formulations.
Area of Science:
- Pharmaceutical Manufacturing
- Materials Science
Background:
- Pellet production involves granulation, extrusion, and spheronisation, with granulation quality critically impacting final product characteristics.
- Optimal liquid requirement in wet granulation is a crucial parameter, but often difficult to determine early in the process.
Purpose of the Study:
- To identify an alternative parameter for predicting optimal liquid requirements in wet granulation.
- To ensure high-quality pellet production through improved process control.
Main Methods:
- Experiments were conducted using lactose and microcrystalline cellulose formulations.
- Granules were analyzed using a Powder Vertical Shear Rig to determine compression density (ρpress).
- Compression density was correlated with powder properties and moisture content.
Main Results:
- Compression density (ρpress) was identified as a reliable alternative parameter for predicting liquid requirements (R² = 0.995).
- This predictive capability was validated for unknown formulation compositions.
- High-quality pellets with desirable shape and size distribution were successfully produced.
Conclusions:
- Compression density (ρpress) effectively predicts liquid requirements, streamlining the pellet manufacturing process.
- The applicability of ρpress was demonstrated for both placebo and active pharmaceutical ingredient (API) formulations.
- This finding offers a valuable quality control metric for pharmaceutical pellet production.
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