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.
| Translated title of the contribution | Artificial Neural Network-Genetic Algorithm-Based Optimization of High Cell Density Cultivation of Recombinant Escherichia coli for Producing Pullulanase |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 73-78 |
| Number of pages | 6 |
| Journal | Shipin Kexue/Food Science |
| Volume | 42 |
| Issue number | 10 |
| DOIs | |
| State | Published - 25 May 2021 |
| Externally published | Yes |
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