🔬 The perfusion process, compared to batch feeding, has gained popularity in the industry.
🧪 The scientists used process data to develop a probabilistic model of perfusion and validated it with simulations.
💡 The results showed that specific perfusion profiles are critical and can reduce culture medium consumption by 25–45%.
⌛️ Modeling can also reduce the number of experiments needed during process development by up to 30–70%.
Introduction:
Improving the efficiency of bioprocessing is crucial for reducing costs and bringing biologics to the market faster. However, the pre-stages of bioprocessing have been overlooked in terms of efficiency improvements. Novartis scientists have explored the use of perfusion models in the pre-stages of bioprocessing a monoclonal antibody (mAb) to improve efficiency.
- Perfusion processes are more efficient than batch-fed processes for bioprocessing.
- Perfusion models were used to simulate and optimize the pre-stages of bioprocessing a monoclonal antibody.
- Specific perfusion profiles were identified as critical for improving efficiency.
- The use of modeling reduced the experimental workload and improved process development and process characterization stages.
- Modeling perfusion profiles can lead to significant reductions in culture medium consumption during the pre-stages.
Conclusion:
The use of perfusion models in the pre-stages of bioprocessing can significantly improve efficiency by optimizing the perfusion profiles. This approach reduces culture medium consumption, experimental workload, and enhances process development and characterization stages.
