Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor
LI Ya-Li1,2, MENG Ting-Ting1, ZHANG Xiao-Li1, FU Chun-Hua2, YU Long-Jiang2
1. School of Mathematics, Physics and Biology Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China;
2. Institute of Resource Biology and Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
An amplification cultivation system using a stirred tank bioreactor was established to obtain optimal conditions for licorice cell cultivation. The reactor operation strategy was optimized using the BP neural network coupling genetic algorithm, cell biomass accumulation net growth index, and data from single factor and orthogonal experiments. Results showed that an inoculum of 6.4%, shaking speed of 89 r/min and aeration rate of 0.1 vvm were the optimal culture conditions for Glycyrrhiza uralensis Fisch cells in the bioreactor. Coupling genetic algorithm optimization based on the neural network was compared with the traditional orthogonal experiments, which showed that cell biomass accumulation increased by 6.9%.
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2015, Vol. 33 
