2020 Danckwerts Lecture
- Type: Conference Presentation
- Conference Type: AIChE Annual Meeting
- Presentation Date: November 16, 2020
- Duration: 60 minutes
- Skill Level: Intermediate
- PDHs: 1.00
In particular, we consider hybrid approaches, where statistical methods based on machine learning techniques are used online in combination with ad-hoc mechanistic models. As an experimental basis for discussion, we take an automated end-to-end integrated platform for the production of a monovalent monoclonal antibody of industrial relevance. The process consists of a perfusion bioreactor, a continuous protein A capture step, followed by low-pH virus inactivation, and frontal and flow-through chromatographic steps for final polishing.
Applications include: development of soft sensors for up and down stream monitoring (Raman based), the hierarchical online process control and optimization of a capture twin columns unit and online maintenance (replacement of protein A based stationary phase in a monoclonal antibody capture process).
We discuss the need for an efficient centralized process data collection and hierarchical control system, firmly based on hybrid algorithms, to allow continuous integrated manufacturing of biopharmaceuticals to develop and grow in agreement with the trends of industry 4.0.
|AIChE Member Credits||0.5|
|AIChE Graduate Student Members||Free|
|AIChE Undergraduate Student Members||Free|