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J. Microbiol. Biotechnol. 2002; 12(4): 687-691

Published online August 28, 2002

Copyright © The Korean Society for Microbiology and Biotechnology.

Control of Feed Rate Using Neurocontroller Incorporated with Genetic Algorithm in Fed - Batch Cultivation of Scutellaria baicalensis Georgi

Jeong Woo Choi *, Woo Chang Lee *, Jin Man Cho *, Young Kee Kim 1*, Soo Yong Park 2* and Won Hong Lee 2*

Department of Chemical Engineering Sogang University C.P.O. Box 1142 Seoul 100-611 Korea, 1Department of Chemical Engineering Hankyong University 67 Seokjeong-dong Ansung Kyonggi-do Korea, 2Department of Computer Science Sogang University C.P.O. Box 1142 Seoul 100-611 Korea

Abstract

To enhance the production of flavonoids [baicalin, wogonin-7-Ο-glucuronic acid (GA)], which are secondary metabolites of Scutellaria baicalensis Georgi(G.) plant cells, a multilayer perceptron control system was applied to regulate the substrate feeding in a fed-batch cultivation. The optimal profile for the substrate feeding rate in a fed-batch culture of S. baicalensis G. was determined by simulating a kinetic model using a genetic algorithm. Process variable profiles were then prepared for the construction of a multilayer perceptron controller that included massive parallelism, trainability, and fault tolerance. An error back-propagation algorithm was applied to train the multiplayer perceptron. The experimental results showed that neurocontrol incorporated with a genetic algorithm improved the flavonoid production compared with a simple fuzzy logic control system. Furthermore, the specific production yield and flavonoid productivity also increased.

Keywords: ScutellariabaicalensisG.|flavonoids|fed-batchculture|multilayerperceptron|geneticalgorithm