Optimization of growth medium for the production of α‐amylase from Bacillus amyloliquefaciens using response surface methodology

Abstract

The optimization of nutrient levels for the production of α-amylase by Bacillus amyloliquefaciens was carried out using response surface methodology (RSM) based on the 2 3 factorial central composite design (CCD). This procedure limited the number of actual experiments performed while allowing for possible interactions between three components. RSM was adopted to derive a statistical model for the effect of starch, peptone and yeast extract (YE) on α-amylase production. The P-value of the coefficient for linear effects of starch and YE concentration was <0.0001, suggesting that this was the principal experimental variable, having the greatest effect on the production of α-amylase. The optimal combinations of media constituents for maximum α-amylase production were determined as 12.61 g L −1 starch, 2.83 g L −1 peptone and 1.25 g L −1 YE. The optimization of the medium resulted not only in a 34% higher enzyme activity than unoptimized medium but also in a reduced amount of the required medium constituents.

Optimization of fermentation conditions for production of anti-TMV extracellular ribonuclease by Bacillus cereus using response surface methodology

“…The fit of the model was also expressed by the coefficient of determination, R 2 , which was 0.9336, indicating that 93% of the variability in the response could be explained by the model. The coefficient of variation (CV) indicates the degree of precision with which the treatments are compared [25,26], and the higher the value of CV the lower the reliability of experiment [27,28]. Here, a lower value of the CV (13.61%) indicates a greater reliability of the experiment.…”

Response surface methodology for the optimization of α-amylase production by Streptomyces sp. ML12 using agricultural byproducts

“…and a 23 IU/mL of enzyme production was achieved. Statistical optimization of α-amylase production by Bacillus amyloliquefaciens resulted in 17.8 IU/mL (Tanyildizi et al 2006). In the present study, Streptomyces sp.…”

Cellulases Production Under Solid State Fermentation Using Agro Waste as a Substrate and Its Application in Saccharification by Trametes Hirsuta Ncim

“…In general, experimental results were enhanced by the optimization using response surface methodology than the conventional optimization methods. Mahat et al (2004) and Tanyildizi et al (2006) have reported an increase in production yield to 34% and 15%, respectively, using response surface methodology. Improvement in the yield and production can also be enhanced using response surface methodology.…”