Statistical optimization of production conditions of β-glucosidase from Bacillus stratosphericus strain SG9

The present study illustrates the optimization and characterization of β-glucosidase from a bacterial isolate, strain SG9. Sixty-eight different variables were first screened by one factor at a time method. The screened variable optimization was then performed by Plackett-Burman design followed by Box-Behnken response surface methodology. Thirty-one variables were screened, of which five variables were found to be significant. Box-Behnken design was then performed using the most significant variables, viz., esculin, K2HPO4 and MgSO4. The maximum enzyme activity was observed with an optimal medium composition of esculin (1.9 g/L), K2HPO4 (0. 5 g/L) and MgSO4 (0.3 g/L) with a predicted value of 3392.01 IU. The maximum β-glucosidase production achieved was 3340 IU. The bacterial strain was identified by 16S rRNA gene sequence and biochemical characterization. The strain was identified as Bacillus stratosphericus and is a first report of its kind.