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Managing API raw material variability in a continuous manufacturing line - Prediction of process robustness
F Stauffer1, V Vanhoorne2, G Pilcer3
1Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ghent, Belgium; Product Development, UCB, Braine l'Alleud, Belgium.
This study managed active pharmaceutical ingredient (API) variability in continuous manufacturing to ensure consistent tablet quality. Process conditions were optimized to guarantee long-term process stability and robust tablet critical quality attributes (CQAs).
Area of Science:
- Pharmaceutical Manufacturing
- Chemical Engineering
- Process Analytical Technology (PAT)
Background:
- Continuous manufacturing (CM) studies often isolate the granulator, neglecting upstream/downstream impacts on product quality.
- Product critical quality attributes (CQAs) are influenced by multiple unit operations, not just granulation.
- Managing active pharmaceutical ingredient (API) batch-to-batch variability is crucial for consistent tablet production in CM.
Purpose of the Study:
- To investigate managing API batch-to-batch variability in a high-drug-loaded formulation within a continuous line.
- To achieve consistent tablet CQAs and ensure long-term process stability for 24/7 continuous manufacturing.
- To understand the influence of API critical material attributes (CMAs) and critical process parameters (CPPs) on CQAs and process stability.
Main Methods:
- A screening design of experiments (DoE) was employed, varying API CMAs and granulation, drying, and milling CPPs.
- Process deviations recorded by sensors were utilized to evaluate factors affecting process stability with reduced material usage.
- The fully integrated continuous manufacturing line was studied to identify interactions between unit operations and API CMAs.
Main Results:
- Product CQAs were solely dependent on process CPPs, while process stability was significantly impacted by API CMAs.
- API batch-to-batch variability's effect on process stability could be mitigated through optimized granulation conditions.
- Appropriate CPP ranges were defined to ensure both consistent product CQAs and robust process stability.
Conclusions:
- A robust continuous manufacturing process was designed by studying the integrated line and understanding interactions.
- Optimizing granulation conditions is key to managing API variability and ensuring process stability.
- This approach enables consistent tablet CQAs and reliable long-term operation in continuous pharmaceutical manufacturing.
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