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

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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.
Keywords
fermentation, SACCHAROMYCES-CEREVISIAE, microreactor, yeast, Population Balance Model, Computational Fluid Dynamics, BUDDING YEAST, POPULATIONS, GROWTH, SIZE

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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.
@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},
}

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