Digital Design, Optimization and Control of Biopharmaceutical Processes Through Process Simulation
Integrating digital tools into bioprocess research, process development (PD) and manufacturing activities opens up opportunities to reduce effort, accelerate time to market and ultimately result in optimized processes. The Computational Bioprocess team within Sartorius have developed simulation capabilities for solving engineering and advanced control types of use cases. This seminar provides an overview of the framework used for model development where considerations such as reasonable expectations of data quality and availability, challenges the models are intended solve and use as enabling tools for intensified and continuous biomanufacturing.
There are three use cases provided including:
- A model based N-1 intensification development strategy, optimization of an intensified feeding strategy, where fed batch data is used to accurately predict intensified growth profile
- Determining an optimal feeding strategy for an intensified process to maximize product, resulting in an over 65% increase in product harvested relative to highest performing training set batches
- Supervisory control of a continuous CHO process enabling stable operation at elevated cell densities resulting in +60% increase in product production rate.
Highlights of the Sartorius Corporate Research Advanced Data Analytics resources and roadmap will be given, providing a glimpse into the future direction of Sartorius capabilities in advanced applications in biopharmaceutical manufacturing.
What You Will Learn:
- Learn about how simulation adds value in process intensification
- Understand how feed strategies can be adjusted and optimized
- Get insights into how supervisory process control can be carried out