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KMID : 0545120020120040687
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Journal of Microbiology and Biotechnology
2002 Volume.12 No. 4 p.687 ~ p.691
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Control of Feed Rate Using Neurocontroller Incorporated with Genetic Algorithm in Fed-Batch Cultivation of Scutellaria baicalensis Georgi
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Choi, Jeong Woo/Choi, Jeong Woo
Lee, Woo Chang/Cho, Jin Man/Kim, Young Kee/Park, Soo Yong/Lee, Won Hong/Lee, Woo Chang/Cho, Jin Man/Kim, Young Kee/Park, Soo Yong/Lee, Won Hong
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Abstract
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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.
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