Control of glucose concentration in a fed-batch cultivation of Scutellaria baicalensis G. plant cells using a self-organizing fuzzy logic controller

C. Jeong-Woo, J. M. Cho, Y. K. Kim, S. Y. Park, Ik Hwan Kim, Y. H. Park

Research output: Contribution to journalArticle

3 Citations (Scopus)

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/l of glucose to promote cell growth, followed by a second period with 5 g/l 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.

Original languageEnglish
Pages (from-to)739-748
Number of pages10
JournalJournal of Microbiology and Biotechnology
Volume11
Issue number5
Publication statusPublished - 2001 Jan 1
Externally publishedYes

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Keywords

  • Fed-batch culture
  • Flavonoids
  • Genetic algorithm
  • Scutellaria baicalensis G.
  • Self-organizing fuzzy control

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Microbiology

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