[Multi-Parametric Control Strategies for Enabling Continuous Biomanufacturing]
Problem or Opportunity Statement:The goal of bioprocessing is to optimize process variables, such as product quantity and quality in a reproducible, scalable and transferable manner. However, bioprocesses are highly complex. A large number of process parameters and raw material attributes exist, which are highly interactive and may vary from batch to batch. Those interactions need to be understood, and source of variance must be identified and controlled.
Learning Objectives:At the end of this presentation, attendees will:
- Workflows how mechanistic models can be developed and calibrated in terms of identifiability, sensitivity and observability
- Models as PAT tool: Demonstration of cases in which models are solution to measure less
- Observer solutions for real-time parameter optimization
- Multiparametric control and event prediction
[Continuous Biopharmaceutical Manufacturing: Modeling, Design, and Fully Automated Control]
This presentation describes some recent directions in the design and operation of continuous biopharmaceutical manufacturing, including the construction of process models and their application to the design and control of biologic drug production. The approaches are demonstrated for a fully automated high-speed small-footprint biomanufacturing platform developed by researchers at Massachusetts Institute of Technology, Rensselaer Polytechnic Institute, and Northeastern University.