Journal of Microbiology and Biotechnology

The Korean Society for Microbiology and Biotechnology (한국미생물·생명공학회)
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Control of Glucose Concentration in a Fed-Batch Cultivation of Scutellaria baicalensis G. Plant Cells a Self-Organizing Fuzzy Logic Controller

  • Choi, Jeong-Woo (Department of Chemical Engineering, Sogang University) ;
  • Cho, Jin-Man (Department of Chemical Engineering, Sogang University) ;
  • Kim, Young-Kee (Department of Chemical Engineering, Sogang University) ;
  • Park, Soo-Yong (Graduate School of Biotechnology, Korea University) ;
  • Kim, Ik-Hwan (Graduate School of Biotechnology, Korea University)
  • Published : 2001.10.01
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Abstract

A self-organizing fuzzy logic controller using a genetic algorithm is described, which controlled the glucose concentration for the enhancement of flavonoid production in a fed-batch cultivation of Scutellaria baicalensis G. plant cells. The substrate feeding strategy in a fed-batch culture was to increase the flavonoid production by using the proposed kinetic model. For the two-stage culture, the substrate feeding strategy consisted of a first period with 28 g/I of glucose to promote cell growth, followed by a second period with 5 g/I of glucose to promote flavonoid production. A simple fuzzy logic controller and the self-organizing fuzzy logic controller using a genetic algorithm was constructed to control the glucose concentration in a fed-batch culture. The designed fuzzy logic controllers were applied to maintain the glucose concentration at given set-points of the two-stage culture in fed-batch cultivation. The experimental results showed that the self-organizing fuzzy logic controller improved the controller\`s performance, compared with that of the simple fuzzy logic controller. The specific production yield and productivity of flavonoids in the two-stage culture were higher than those in the batch culture.

Keywords

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