@inproceedings{13a15152c0d540da911e89a5b0f3874b,
title = "Mechanistic modeling of product formation in recombinant Escherichia coli cultivations",
abstract = "In this work a nonlinear mechanistic model was developed predicting the product formation of recombinant lactate dehydrogenase (LDH) using fed-batch cultivations of Escherichia coli. The derived product formation kinetics consider the inclusion body (IB) fraction as well as the soluble protein fraction. After the structural identifiability of the model parameters was analyzed, five fed-batch cultivations were conducted in total in order to identify the model parameters and to validate the model subsequently. The accuracy of the final model was overall good with NRMSE values of around 0.1 to 0.2 for both product fractions. The derived model can be seen as an enabler for advanced monitoring and control strategies like model predictive control and other advances technologies defined in the process analytical technology (PAT) initiative. ",
keywords = "Escherichia coli, Bioprocess control, Product formation, Mechanistic model, Process analytical technology",
author = "M{\"u}ller, \{Don Fabian\} and Philipp Pably and Daniel Wibbing and Julian Kager and Christoph Herwig",
year = "2023",
doi = "10.1016/B978-0-443-15274-0.50078-0",
language = "English",
isbn = "978-0-443-23553-5",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "487--492",
editor = "Kokossis, \{Antonis \} and \{C. Georgiadis\}, \{Michael \} and \{N. Pistikopoulos\}, Efstratios",
booktitle = "Proceedings of the 33rd European Symposium on Computer Aided Process Engineering",
address = "United Kingdom",
note = "33rd European Symposium on Computer Aided Process Engineering, ESCAPE33 ; Conference date: 18-06-2023 Through 21-06-2023",
}