Contemporaneous Production of Amylase and Protease through CCD Response Surface Methodology by Newly Isolated Bacillus megaterium Strain B69
Author(s) -
Rajshree Saxena,
Rajni Singh
Publication year - 2014
Publication title -
enzyme research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.439
H-Index - 39
eISSN - 2090-0406
pISSN - 2090-0414
DOI - 10.1155/2014/601046
Subject(s) - protease , bacillus megaterium , response surface methodology , amylase , food science , fermentation , population , solid state fermentation , substrate (aquarium) , microbiology and biotechnology , plackett–burman design , chemistry , biology , biochemistry , enzyme , chromatography , bacteria , medicine , ecology , genetics , environmental health
The enormous increase in world population has resulted in generation of million tons of agricultural wastes. Biotechnological process for production of green chemicals, namely, enzymes, provides the best utilization of these otherwise unutilized wastes. The present study elaborates concomitant production of protease and amylase in solid state fermentation (SSF) by a newly isolated Bacillus megaterium B69, using agroindustrial wastes. Two-level statistical model employing Plackett-Burman and response surface methodology was designed for optimization of various physicochemical conditions affecting the production of two enzymes concomitantly. The studies revealed that the new strain concomitantly produced 1242 U/g of protease and 1666.6 U/g of amylase by best utilizing mustard oilseed cake as the substrate at 20% substrate concentration and 45% moisture content after 84 h of incubation. An increase of 2.95- and 2.04-fold from basal media was observed in protease and amylase production, respectively. ANOVA of both the design models showed high accuracy of the polynomial model with significant similarities between the predicted and the observed results. The model stood accurate at the bench level validation, suggesting that the design model could be used for multienzyme production at mass scale.
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