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Physical parameter optimization by Response Surface Methodology for lipase production by Aspergillus Niger and its partial purification.
Abstract
Response Surface Methodology (RSM) is an empirical technique involving the use of Design Expert software to derive a predictive model similar to regression analysis. This present study explains the significant application of RSM in optimization of lipase production by Aspergillus niger. The experimental validation of the predictive model reveals 33% increase in lipase production. Furthermore, the molecular weight of the partially purified lipase was found to be 45,000 Da. Moreover, the purified protein can be used as an additive in laundry detergent formulation, enabling laundering at lower temperature pertaining to expenditure reduction.
Keywords: Aspergillus niger, Response Surface Methodology, Lipase, Detergent.
Keywords: Aspergillus niger, Response Surface Methodology, Lipase, Detergent.
