Response Surface Methodology for the Optimization of α-Amylase Production by Bacillus subtilis ZJF-1A5
Jun Liang Sun, Xin Hong Liang, Jie Zeng, Guang Lei Li, Jun Liang Sun
Abstract
Jun Liang Sun, Xin Hong Liang, Jie Zeng, Guang Lei Li, Jun Liang Sun
Abstract
The aim of this work was to optimize the process parameters through the statistical approach for the production of alpha amylase by Bacillus subtilis ZJF-1A5 in submerged fermentation (SMF). The process parameters influencing the enzyme production were identified by using response surface methodology. Among the variables screened, the temperature and time were most significant and showed a positive interaction. The optimum levels were: temperature 35.8 °C, pH 5.03 and time 54h and under these conditions α-amylase yield was up to 191.15 U/mL.
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The aim of this work was to optimize the process parameters through the statistical approach for the production of alpha amylase by Bacillus subtilis ZJF-1A5 in submerged fermentation (SMF). The process parameters influencing the enzyme production were identified by using response surface methodology. Among the variables screened, the temperature and time were most significant and showed a positive interaction. The optimum levels were: temperature 35.8 °C, pH 5.03 and time 54h and under these conditions α-amylase yield was up to 191.15 U/mL.
Key concepts: Bacillus subtilis, Response surface methodology, Amylase, Yield (engineering), Fermentation, Food science, Production (economics), Process (computing)