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A genetic algorithm for the optimization of the thermoinduction protocol for high-level production of recombinant
Lei Chi1, Dai-Di Fan, Xiao-Xuan Ma
1Shaanxi R&D Center of Biomaterial and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an, People's Republic of China.
Abstract:
Production of recombinant human-like collagen (RHLC) by thermoinduction of recombinant Escherichia coli BL 21 during high cell density cultivation was investigated in a 30 L bioreactor. The effects of induction temperature (T), pH, and carbon-to-nitrogen molar ratio of the nutrient medium (C/N) were examined. The optimal thermoinduction protocol for RHLC production was determined by using a model coupling genetic algorithm and artificial neural networks. The optimal operating conditions were as follows: maintenance of induction temperature at 42°C for 3 H and then at 39.4°C until the end, induction pH at 7.03, and C/N at 4.8 (mol/mol). The theoretical maximum concentration of RHLC was 12.5 g/L, whereas the experimental value was 12.1 g/L under the optimal induction conditions.
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