Mathematical modelling for the optimization of cellulase production using glycerol for cell growth and cellulose as the inducer substrate

Journal Article (2020)
Author(s)

L. Gelain (University of Campinas, TU Delft - OLD BT/Cell Systems Engineering)

Luuk A.M. Luuk (University of Limerick, TU Delft - BT/Bioprocess Engineering)

WM Van Gulik (TU Delft - OLD BT/Cell Systems Engineering)

José Geraldo Geraldo da Cruz Pradella (Universidade Federal de Sao Paulo)

Aline da Costa (University of Campinas)

Research Group
BT/Bioprocess Engineering
Copyright
© 2020 L. Gelain, L.A.M. van der Wielen, W.M. van Gulik, José Geraldo da Cruz Pradella, Aline Carvalho da Costa
DOI related publication
https://doi.org/10.1016/j.cesx.2020.100085
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 L. Gelain, L.A.M. van der Wielen, W.M. van Gulik, José Geraldo da Cruz Pradella, Aline Carvalho da Costa
Research Group
BT/Bioprocess Engineering
Volume number
8
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Abstract

Cellulase production can be divided into two steps: growth stage; followed by an induction stage. To develop a mathematical model for the optimization of this strategy, two sets of experiments were performed in batch mode for parameter estimation. One set of experiments was performed to evaluate the influence of glycerol regarding cell growth (initial concentrations of 5, 10, 15 and 20 g/L). The other set of experiments considered the induction stage using cellulose as the substrate (initial concentrations of 5, 10, 20, 30 and 40 g/L). Two feeding strategies were simulated to maximize cellulase production using glycerol to maintain a high cell concentration. The first simulation used a discrete feed and the second used a continuous feed of cellulose. The mathematical model proposed allows maintaining a high cell concentration and the addition of optimal small amounts of the inducer substrate to prevent inhibition of enzyme production.