Experiments on Computer Assisted Optimization of the EscherichiaColi Fermentation Process Using Optferm

  • Tânia Teixeira
  • Sérgio Deusdado
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 93)


We used the software Optferm to model and optimize the bioprocess of escherichia coli fermentation, simulating the conditions of a fed-batch bioreactor. The results, obtained by employing different AI approaches, provided useful orientation for nutrient feed strategies for increased productivity. In conclusion, we believe in silico tools can perform a rapid and valid optimization of bioprocesses avoiding expensive experiments.


Simulated Annealing Differential Evolution Fermentation Process Butanol Production Interpolation Factor 
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  1. 1.
    Mendes, R., Rocha, I., Ferreira, E., Rocha, M.: A Comparison of Algorithms for the Optimization of Fermentation Processes. In: 2006 IEEE International Conference on Evolutionary Computation, pp. 2018–2025 (2006)Google Scholar
  2. 2.
    Yüzgeç, U., Türker, M., Hocalar, A.: On-line evolutionary optimization of an industrial fed-batch yeast fermentation process. ISA Transactions 48(1), 79–92 (2009)CrossRefGoogle Scholar
  3. 3.
    Teusink, B., Wiersma, A., Jacobs, L., Notebaart, R.A., Smid, E.J.: Understanding the adaptive growth strategy of Lactobacillus plantarum by in silico optimisation. PLoS Computational Biology 5(6), e1000410 (2009)Google Scholar
  4. 4.
    Pinto Mariano, A., et al.: Optimization strategies based on sequential quadratic programming applied for a fermentation process for butanol production. Applied Biochemistry and Biotechnology 159(2), 366–381 (2009)CrossRefGoogle Scholar
  5. 5.
    Kavanagh, J.M., Barton, G.W.: Productivity improvement of recombinant Escherichia coli fermentation via robust optimization. Bioprocess and Biosystems Engineering 31(2), 137–143 (2008)CrossRefGoogle Scholar
  6. 6.
    Rocha, I., Ferreira, E., Veloso, A., Neves, J., Rocha, M.: Evolutionary Algorithms for Static and Dynamic Optimization of Fed-batch Fermentation Processes. In: Adaptive and Natural Computing Algorithms, pp. 288–291. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Rocha, O., Maia, P., Rocha, I., Rocha, M.: OPTFERM-A Computational Platform for the Optimization of Fermentation Processes. In: Presented at the European Simulation and Modelling Conference (ESM 2009), Leicester, UK, pp. 5–9 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tânia Teixeira
    • 1
  • Sérgio Deusdado
    • 2
  1. 1.Superior Agrarian SchoolPolytechnic Institute of BragançaBragançaPortugal
  2. 2.CIMO – Mountain Research CenterPolytechnic Institute of BragançaBragançaPortugal

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