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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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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.
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.
Chicago author-date
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.
Chicago author-date (all authors)
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.
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.
IEEE
[1]
R. L. Fernandes, U. Kruhne, I. Nopens, A. D. Jensen, and K. V. Gernaey, “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, Singapore, Singapore, 2012, vol. 31, pp. 545–549.
@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}},
  keywords     = {{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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