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

• Bioengineering • Previous Articles     Next Articles

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

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

CLC Number: