Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology

Abstract

Introduction: Glucose oxidase (GOX) is considered a commercial enzyme in the medicine, pharmaceutical, and food industries. Optimization of the fermentation medium and conditions is important to increase heterologous GOX production. The current study aimed to optimize GOX production in a ‎recombinant strain of Yarrowia lipolytica via statistical techniques. Materials and Methods: Response surface methodology (RSM) as a statistical technique for the design of the experiment was used for the optimization of recombinant GOX production by Y. lipolytica. Then, the optimized conditions were used for the production of GOX in bioreactor cultivation. Results: GOX production was increased up to 570 U/L after optimization of the medium in flask culture which is 2 times more than the non-optimized medium. In the bioreactor culture using optimized medium containing glucose and sucrose as carbon sources, GOX production was reached 720 and 730 U/L after two and six days, respectively. Discussion and Conclusion: Results of the study provided valuable information about the statistical optimization of bioprocess development for the production of heterologous protein in Y. lipolytica.

Keywords

• yarrowia lipolytica
• glucose oxidase
• optimization
• response surface methodology
• bioreactor