10th IFAC Conference on Foundations of Systems Biology in Engineering FOSBE 2024: Corfu Island, Greece, September 8-11, 2024.
Published in IFAC-PapersOnLine, Volume 58, Issue 23, 2024, Pages 109-114.
https://doi.org/10.1016/j.ifacol.2024.10.019
See the code on GitHub.
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.
