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

Rita Lencastre Fernandes, Ulrich Kruhne, Ingmar Nopens UGent, Anker D Jensen and Krist V Gernaey (2012) Computer-Aided Chemical Engineering. In Computer-Aided Chemical Engineering 31. p.545-549
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 multi-scale 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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
fermentation, SACCHAROMYCES-CEREVISIAE, microreactor, yeast, Population Balance Model, Computational Fluid Dynamics, BUDDING YEAST, POPULATIONS, GROWTH, SIZE
in
Computer-Aided Chemical Engineering
editor
IA Karimi and R Srinivasan
series title
Computer-Aided Chemical Engineering
volume
31
issue title
11th International symposium on process systems engineering, pts A and B
pages
545 - 549
publisher
Elsevier Science
place of publication
Amsterdam, The Netherlands
conference name
11th International symposium on Process Systems Engineering (PSE)
conference location
Singapore, Singapore
conference start
2012-07-15
conference end
2012-07-19
Web of Science type
Proceedings Paper
Web of Science id
000316676100101
ISSN
1570-7946
ISBN
9780444595058
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3234583
handle
http://hdl.handle.net/1854/LU-3234583
date created
2013-06-04 11:28:11
date last changed
2017-01-02 09:53:02
@inproceedings{3234583,
  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 multi-scale 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.},
  author       = {Fernandes, Rita Lencastre and Kruhne, Ulrich and Nopens, Ingmar and Jensen, Anker D and Gernaey, Krist V},
  booktitle    = {Computer-Aided Chemical Engineering},
  editor       = {Karimi, IA and Srinivasan, R},
  isbn         = {9780444595058},
  issn         = {1570-7946},
  keyword      = {fermentation,SACCHAROMYCES-CEREVISIAE,microreactor,yeast,Population Balance Model,Computational Fluid Dynamics,BUDDING YEAST,POPULATIONS,GROWTH,SIZE},
  language     = {eng},
  location     = {Singapore, Singapore},
  pages        = {545--549},
  publisher    = {Elsevier Science},
  title        = {Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor},
  volume       = {31},
  year         = {2012},
}

Chicago
Fernandes, Rita Lencastre, Ulrich Kruhne, Ingmar Nopens, Anker D Jensen, and Krist V Gernaey. 2012. “Multi-scale Modeling for Prediction of Distributed Cellular Properties in Response to Substrate Spatial Gradients in a Continuously Run Microreactor.” In Computer-Aided Chemical Engineering, ed. IA Karimi and R Srinivasan, 31:545–549. Amsterdam, The Netherlands: Elsevier Science.
APA
Fernandes, Rita Lencastre, Kruhne, U., Nopens, I., Jensen, A. D., & Gernaey, K. V. (2012). Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. In I. Karimi & R. Srinivasan (Eds.), Computer-Aided Chemical Engineering (Vol. 31, pp. 545–549). Presented at the 11th International symposium on Process Systems Engineering (PSE), Amsterdam, The Netherlands: Elsevier Science.
Vancouver
1.
Fernandes RL, Kruhne U, Nopens I, Jensen AD, Gernaey KV. Multi-scale modeling for prediction of distributed cellular properties in response to substrate spatial gradients in a continuously run microreactor. In: Karimi I, Srinivasan R, editors. Computer-Aided Chemical Engineering. Amsterdam, The Netherlands: Elsevier Science; 2012. p. 545–9.
MLA
Fernandes, Rita Lencastre, Ulrich Kruhne, Ingmar Nopens, et al. “Multi-scale Modeling for Prediction of Distributed Cellular Properties in Response to Substrate Spatial Gradients in a Continuously Run Microreactor.” Computer-Aided Chemical Engineering. Ed. IA Karimi & R Srinivasan. Vol. 31. Amsterdam, The Netherlands: Elsevier Science, 2012. 545–549. Print.