食品科学 ›› 2021, Vol. 42 ›› Issue (10): 73-78.doi: 10.7506/spkx1002-6630-20200101-006

• 生物工程 • 上一篇    下一篇

基于人工神经网络和遗传算法的普鲁兰酶重组大肠杆菌高密度发酵工艺优化

迟雷,王静雨,侯俊超,魏佳佳,魏涛,胡晓龙,何培新   

  1. (郑州轻工业大学食品与生物工程学院,河南 郑州 450000)
  • 出版日期:2021-05-25 发布日期:2021-06-02
  • 基金资助:
    国家自然科学基金青年科学基金项目(31801535);河南省重大科技专项(181100211400); 河南省教育厅科技创新人才项目(18HASTIT040);郑州轻工业大学博士科研启动基金项目(2013BSJJ004)

Artificial Neural Network-Genetic Algorithm-Based Optimization of High Cell Density Cultivation of Recombinant Escherichia coli for Producing Pullulanase

CHI Lei, WANG Jingyu, HOU Junchao, WEI Jiajia, WEI Tao, HU Xiaolong, HE Peixin   

  1. (School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450000, China)
  • Online:2021-05-25 Published:2021-06-02

摘要: 基于人工神经网络和遗传算法,对重组大肠杆菌(Escherichia coli)BL 21表达热稳定普鲁兰酶的高密度发酵工艺进行优化。在5 L的发酵罐中,通过比较不同发酵温度、pH值及培养基碳氮比(C/N,mol/mol)对细胞量和产物产量的影响,确定最佳发酵工艺。结果表明,诱导前适合细胞生长的发酵条件为发酵温度34.4 ℃、pH 6.87、培养基C/N 6.1;诱导后适合产物表达的发酵条件为发酵温度32.5 ℃、pH 6.69、培养基C/N 5.3,最终获得细胞质量浓度56.5 g/L,重组蛋白产量3.21 g/L,酶活力为268.3 U/mL。

关键词: 重组普鲁兰酶;神经网络;遗传算法;高密度发酵

Abstract: In this study, the high cell density cultivation of recombinant Escherichia coli BL 21 for the production of a novel thermostable pullulanase was optimized using artificial neural network and genetic algorithm. The effects of culture temperature, medium pH, and carbon-to-nitrogen (C/N) molar ratio were tested in a 5 L bioreactor. The results suggested that the optimal culture conditions before the induction phase were as follows: temperature 34.4 ℃, pH 6.87 and C/N ratio 6.1, and the optimal culture conditions after induction were 32.5 ℃, pH 6.69 and 5.3 C/N ratio. The maximum biomass, protein concentration and pullulanase activity obtained under these conditions were 56.5 g/L, 3.21 g/L and 268.3 U/mL, respectively.

Key words: recombinant pullulanase; neural network; genetic algorithm; high cell density cultivation

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