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Continuous capture scale down model: A comparison of a continuous and a discrete approach
Jonathan C Seidel1, Mathias Göbel1, Rui C Dos Reis Rodrigues2
1Novartis Pharma AG/Global Drug Development - Biopharmaceutical Process Development - Downstream Process Development, Basel, Switzerland.
Discrete scale-down models (SDMs) are suitable for developing continuous protein A purification in pharmaceutical manufacturing. This approach offers advantages over continuous SDMs, including simplicity and reduced resource use.
Area of Science:
- Biopharmaceutical Manufacturing
- Chemical Engineering
- Process Development
Background:
- Continuous pharmaceutical manufacturing integrates fermentation and downstream processing.
- Continuous capture steps are critical for linking these processes.
- Scale-down models (SDMs) are essential for developing unit operations.
Purpose of the Study:
- To evaluate the suitability of discrete, non-continuous scale-down models (SDMs) for continuous protein A purification.
- To compare the performance of discrete SDMs against continuous SDMs in this context.
Main Methods:
- Development and application of a discrete scale-down model.
- Comparison with a continuous scale-down model for protein A chromatography.
- Focus on the continuous capture unit operation in pharmaceutical manufacturing.
Main Results:
- The discrete SDM approach proved suitable for the continuous protein A purification step.
- Discrete SDMs offer advantages such as simpler design, lower material consumption, and reduced operation time compared to continuous SDMs.
Conclusions:
- Discrete scale-down models are a viable and advantageous alternative to continuous SDMs for developing continuous protein A purification.
- This finding supports the use of discrete SDMs in optimizing continuous biopharmaceutical manufacturing processes.
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