Optimizing Fed-Batch Processes with Dynamic Control Flux Balance Analysis
- Author(s)
- Mathias Gotsmy, Dafni Giannari, Radhakrishnan Mahadevan, Jürgen Zanghellini
- Abstract
Fed-batch processes are prevalent in biotechnological industries, but design of experiments often results in sub-optimal conditions due to incomplete solution space characterization. We employ a single-level dynamic control (DC) algorithm for dynamic flux balance analysis (dFBA), enhancing efficiency by reducing Karush-Kuhn-Tucker (KKT) condition constraints and adapting the algorithm for predicting optimal process length. In a growth-decoupled plasmid DNA production case study, we predict the optimal feeding profile and switching time between growth and production phase. Comparing our algorithm to its predecessor shows a speed-up of at least a factor of four. When the process length is part of the objective function the speed-up becomes considerably larger.
- Organisation(s)
- Department of Analytical Chemistry
- External organisation(s)
- acib – Austrian Centre of Industrial Biotechnology, University of Toronto, University of Vienna
- Journal
- IFAC-PapersOnLine
- Volume
- 58
- Pages
- 109-114
- No. of pages
- 6
- ISSN
- 2405-8971
- DOI
- https://doi.org/10.1016/j.ifacol.2024.10.019
- Publication date
- 09-2024
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 104027 Computational chemistry, 104002 Analytical chemistry, 106005 Bioinformatics
- Keywords
- ASJC Scopus subject areas
- Control and Systems Engineering
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/13beec36-72cf-4e54-9266-4e6fc8d7bda3