Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor

Rita Lencastre Fernandes; Ulrich Krühne; Ingmar Nopens; Anker Degn Jensen; Krist Gernaey

doi:10.1016/B978-0-444-59507-2.50101-3

Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor

Rita Lencastre Fernandes
, Ulrich Krühne
, Ingmar Nopens
, Anker Degn Jensen
, Krist Gernaey

Ghent University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In large-scale fermentors, non-ideal mixing leads to the development of heterogeneous cell populations. This cell-to-cell variability may explain the differences in e.g. yields for large- and lab-scale cultivations. In this work the anaerobic growth
of Saccharomyces cerevisiae in a continuously run microbioreactor is simulated. A multiscale model consisting of the coupling of a population balance model, a kinetic model and a flow model was developed in order to predict simultaneously local concentrations of substrate (glucose), product (ethanol) and biomass, as well as the local cell size distributions.

Original language	English
Title of host publication	Proceedings of the 11th International Symposium on Process Systems Engineering
Editors	I.A. Karimi, Rajagopalan Srinivasan
Publisher	Elsevier
Publication date	2012
Pages	545-549
DOIs	https://doi.org/10.1016/B978-0-444-59507-2.50101-3
Publication status	Published - 2012
Event	11th International Symposium on Process Systems Engineering - , Singapore Duration: 15 Jul 2012 → 19 Jul 2012

Conference

Conference	11th International Symposium on Process Systems Engineering
Country/Territory	Singapore
Period	15/07/2012 → 19/07/2012

Series	Computer Aided Chemical Engineering
Volume	31
ISSN	1570-7946

Keywords

Population balance model
computational fluid dynamics
Yeast
Microreactor
Fermentation

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10.1016/B978-0-444-59507-2.50101-3

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Lencastre Fernandes, R., Krühne, U., Nopens, I., Jensen, A. D., & Gernaey, K. (2012). Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. In I. A. Karimi, & R. Srinivasan (Eds.), Proceedings of the 11th International Symposium on Process Systems Engineering (pp. 545-549). Elsevier. https://doi.org/10.1016/B978-0-444-59507-2.50101-3

Lencastre Fernandes, Rita ; Krühne, Ulrich ; Nopens, Ingmar et al. / Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. Proceedings of the 11th International Symposium on Process Systems Engineering. editor / I.A. Karimi ; Rajagopalan Srinivasan. Elsevier, 2012. pp. 545-549 (Computer Aided Chemical Engineering, Vol. 31).

@inproceedings{0cee1ed559e8438fae43806bc60af832,

title = "Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor",

abstract = "In large-scale fermentors, non-ideal mixing leads to the development of heterogeneous cell populations. This cell-to-cell variability may explain the differences in e.g. yields for large- and lab-scale cultivations. In this work the anaerobic growth of Saccharomyces cerevisiae in a continuously run microbioreactor is simulated. A multiscale model consisting of the coupling of a population balance model, a kinetic model and a flow model was developed in order to predict simultaneously local concentrations of substrate (glucose), product (ethanol) and biomass, as well as the local cell size distributions.",

keywords = "Population balance model, computational fluid dynamics, Yeast, Microreactor, Fermentation",

author = "\{Lencastre Fernandes\}, Rita and Ulrich Kr{\"u}hne and Ingmar Nopens and Jensen, \{Anker Degn\} and Krist Gernaey",

year = "2012",

doi = "10.1016/B978-0-444-59507-2.50101-3",

language = "English",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

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editor = "I.A. Karimi and Srinivasan, \{Rajagopalan \}",

booktitle = "Proceedings of the 11th International Symposium on Process Systems Engineering",

address = "United Kingdom",

note = "11th International Symposium on Process Systems Engineering, PSE-2012 ; Conference date: 15-07-2012 Through 19-07-2012",

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Lencastre Fernandes, R, Krühne, U, Nopens, I, Jensen, AD & Gernaey, K 2012, Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. in IA Karimi & R Srinivasan (eds), Proceedings of the 11th International Symposium on Process Systems Engineering. Elsevier, Computer Aided Chemical Engineering, vol. 31, pp. 545-549, 11th International Symposium on Process Systems Engineering, Singapore, 15/07/2012. https://doi.org/10.1016/B978-0-444-59507-2.50101-3

Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. / Lencastre Fernandes, Rita; Krühne, Ulrich; Nopens, Ingmar et al.
Proceedings of the 11th International Symposium on Process Systems Engineering. ed. / I.A. Karimi; Rajagopalan Srinivasan. Elsevier, 2012. p. 545-549 (Computer Aided Chemical Engineering, Vol. 31).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Gernaey, Krist

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KW - computational fluid dynamics

KW - Yeast

KW - Microreactor

KW - Fermentation

U2 - 10.1016/B978-0-444-59507-2.50101-3

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BT - Proceedings of the 11th International Symposium on Process Systems Engineering

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Lencastre Fernandes R, Krühne U, Nopens I, Jensen AD , Gernaey K. Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. In Karimi IA, Srinivasan R, editors, Proceedings of the 11th International Symposium on Process Systems Engineering. Elsevier. 2012. p. 545-549. (Computer Aided Chemical Engineering, Vol. 31). doi: 10.1016/B978-0-444-59507-2.50101-3

Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor

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