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甘草细胞放大培养中搅拌式反应器操作策略优化

李雅丽, 孟婷婷, 张小利, 付春华, 余龙江

李雅丽, 孟婷婷, 张小利, 付春华, 余龙江. 甘草细胞放大培养中搅拌式反应器操作策略优化[J]. 植物科学学报, 2015, 33(6): 867-872. DOI: 10.11913/PSJ.2095-0837.2015.60867
引用本文: 李雅丽, 孟婷婷, 张小利, 付春华, 余龙江. 甘草细胞放大培养中搅拌式反应器操作策略优化[J]. 植物科学学报, 2015, 33(6): 867-872. DOI: 10.11913/PSJ.2095-0837.2015.60867
LI Ya-Li, MENG Ting-Ting, ZHANG Xiao-Li, FU Chun-Hua, YU Long-Jiang. Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor[J]. Plant Science Journal, 2015, 33(6): 867-872. DOI: 10.11913/PSJ.2095-0837.2015.60867
Citation: LI Ya-Li, MENG Ting-Ting, ZHANG Xiao-Li, FU Chun-Hua, YU Long-Jiang. Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor[J]. Plant Science Journal, 2015, 33(6): 867-872. DOI: 10.11913/PSJ.2095-0837.2015.60867
李雅丽, 孟婷婷, 张小利, 付春华, 余龙江. 甘草细胞放大培养中搅拌式反应器操作策略优化[J]. 植物科学学报, 2015, 33(6): 867-872. CSTR: 32231.14.PSJ.2095-0837.2015.60867
引用本文: 李雅丽, 孟婷婷, 张小利, 付春华, 余龙江. 甘草细胞放大培养中搅拌式反应器操作策略优化[J]. 植物科学学报, 2015, 33(6): 867-872. CSTR: 32231.14.PSJ.2095-0837.2015.60867
LI Ya-Li, MENG Ting-Ting, ZHANG Xiao-Li, FU Chun-Hua, YU Long-Jiang. Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor[J]. Plant Science Journal, 2015, 33(6): 867-872. CSTR: 32231.14.PSJ.2095-0837.2015.60867
Citation: LI Ya-Li, MENG Ting-Ting, ZHANG Xiao-Li, FU Chun-Hua, YU Long-Jiang. Operation Strategy Optimization of Glycyrrhiza uralensis Fisch Cell Amplification Culture in a Stirring Bioreactor[J]. Plant Science Journal, 2015, 33(6): 867-872. CSTR: 32231.14.PSJ.2095-0837.2015.60867

甘草细胞放大培养中搅拌式反应器操作策略优化

基金项目: 国家自然科学基金项目(31460064);内蒙古自治区高等学校“青年科技英才计划” (NJYT-15-A08);内蒙古自然科学基金(2013MS0512);内蒙古自治区高等学校科学研究项目(NJZY13152)。
详细信息
    作者简介:

    李雅丽(1976-),女,内蒙古赤峰人,博士,教授,主要研究方向为植物次生代谢调控(E-mail:btliyali@126.com)。

  • 中图分类号: Q943.1

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

  • 摘要: 为获得甘草细胞在反应器中放大培养的最佳条件,在建立稳定的甘草细胞搅拌式生物反应器放大培养体系的基础上,分别以单因素和正交实验获得的数据为样本,以细胞净增长生物量为考察指标,运用BP神经网络耦合遗传算法对反应器操作策略进行优化。结果表明,接种量6.4%、摇床转速89 r/min、通气速率0.1 vvm是甘草细胞进行反应器培养的最优条件;与传统的正交实验方法相比,这种基于神经网络耦合遗传算法的优化方法使反应器中细胞生物量的积累提高了6.9%。
    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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出版历程
  • 收稿日期:  2015-05-06
  • 发布日期:  2015-12-27

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