AI-generated from publicly available materials.Researchers at Sartorius have developed a nonlinear model predictive control (NMPC) system that significantly enhances the productivity of continuous biomanufacturing for Chinese hamster ovary (CHO) cells, achieving a 68% increase in production while maintaining viable cell density above 95%.
This innovative NMPC system allows biomanufacturers to effectively manage feed, bleed, and harvest flows, facilitating a seamless shift between operational stability and economic optimization. According to Sartorius experts Mahshad Valipour and Christopher McCready, this system is adept at addressing unknown variables through a dynamic estimation process that considers both process constraints and operational conditions.
Once the system stabilizes, it transitions into an economic NMPC (ENMPC) mode, which fine-tunes performance objectives in real time while ensuring compliance with biological and process constraints. This integration allows for a continuous assessment of optimal operating conditions, thus enhancing productivity without the instability often seen in traditional ENMPC approaches.
The findings indicate that this advanced control framework not only improves the predictability of CHO perfusion processes but also empowers biomanufacturers to adapt their operational goals in real-time. This adaptability is particularly crucial in maintaining cell culture health and optimizing production efficiency, suggesting a transformative potential for the bioprocessing industry.