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

被引：0

作者：

Chi L. ^{[1
]}

Wang J. ^{[1
]}

Hou J. ^{[1
]}

Wei J. ^{[1
]}

Wei T. ^{[1
]}

Hu X. ^{[1
]}

He P. ^{[1
]}

机构：

[1] School of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou

来源：

Shipin Kexue/Food Science | 2021年 / 42卷 / 10期

关键词：

Genetic algorithm; High cell density cultivation; Neural network; Recombinant pullulanase;

D O I：

10.7506/spkx1002-6630-20200101-006

中图分类号：

学科分类号：

摘要：

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. © 2021, China Food Publishing Company. All right reserved.

引用

页码：73 / 78

页数：5

共 23 条

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