Abstract
AbstractSummaryWe present a novel “pseudo batch” transformation algorithm that maps analytical data obtained for fed-batch bioreactor cultivations onto a constant volume batch process, significantly decreasing the complexity of characterizing the fed-batch process.Availability and implementationOur method is implemented in both Excel and Python and is available with tutorials and example data fromhttps://github.com/biosustain/pseudobatch. The Python package is also available on PYPI under the name “pseudobatch”.ContactLars Keld Nielsen, e-mail:lars.nielsen@uq.edu.auSupplementary informationA comprehensive explanation of the simulated fed-batch, parameter estimation procedures, and the Bayesian model can be found in supplementary information (S1-S5).
Publisher
Cold Spring Harbor Laboratory