Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor
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Graphical Abstract
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Abstract
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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