Response surface methodology for optimization of microbial cellulase production

摘要

Contrary to conventional techniques, statistical tools like response surface methodology (RSM) have gained importance in past ten years for optimization of various process parameters. Use of RSM to enhance the cellulase production from different microorganisms is desirable due to its application in various industrial processes and to decipher a clue for selection of different factors affecting its activity. Amongst different statistical packages, Design-Expert has been preferred over Minitab for optimization of dependent and independent variables. Mostly, screening of multiple influencing factors utilizes first- order Placket-Burman designs. Further, the interactive effect of screened parameters involves second order central composite design (CCD) to analyze the quadratic response surface. Statistical optimization of microbial cellulases generally led to enhancement of their activities up to 20-folds. Combined effect of media ingredients such as carboxymethyl cellulose (CMC), yeast extract, peptone, MnCl and KxHPOg significantly influences the bacterial cellulase production. However, a need exists to delineate the production technologies which are economically feasible using less expensive carbon and nitrogen sources to obtain a greater cellulase yield at industrial-scale.