New Directions in Bioprocess Modeling and Control: Maximizing Process Analytical Technology Benefits, Second Edition
Avoid the cost of a bad batch. Use modeling to implement process improvements before the plant goes online.
By Gregory K. McMillan, Christopher Stuart, Rehman Fazeem, Zachary Sample, and Timothy Schieffer
This book provides practical, comprehensive knowledge on how to use the advances in analytical measurements and basic and advanced control to improve batch profiles and endpoint consistency. The consequential integration of measurements, models, and controls into a digital twin with recently developed blocks to provide profiles and predict endpoints enables:
- The development of dynamic models from trend charts that are used for experiment design, which can diagnose the sources of limitations and inconsistencies
- Comprehensive views of basic process control with the possibilities of model predictive control to control and optimize batch profiles by non-intrusive development and confirmation
- The ability to determine how to maximize the performance of bioreactors, which are often the bottleneck and the key to product quality and consistency, without tests or trials in the actual plant
This book is a useful reference for anyone who is interested in learning how to use modeling to increase efficiency and improve process control before the plant goes online.
