OPTIMIZING L-ASPARAGINASE PRODUCTION BY FUSARIUM SOLANI CLR-36: A STATISTICAL APPROACH USING RESPONSE SURFACE METHODOLOGY

Abstract

L-Asparaginase is a component in multi agent chemotherapeutic regiment for treatment of patients with acute lymphoblastic leukaemia (ALL). This study provides data on the scaling up production of L-Asparaginase by Fusarium solani CLR-36 under solid state fermentation using low cost materials. A statistical approach for improving LAsparaginase production was employed using Plackett-Burman experimental design followed by face-centered Central Composite Design of the response surface methodology. Eleven independent variables (viz., temperature, pH, particle size, initial moisture content, incubation time, L-asparagine, ammonium chloride, glucose concentration, inoculum age, inoculum size, and mixed substrates) were evaluated using Plackett-Burman experimental design. The most significant independent variables (glucose concentration, temperature, and inoculum age) which showing positive effect on LAsparaginase production were selected for further optimization by response surface methodology face-centered central composite design. L-Asparaginase yield of 90.391 IU from response surface methodology optimized bioprocess was close to the predicted activity 89.417 IU with 96.25% model accuracy.