Statistical optimization of critical medium components for lipase production from Yarrowia lipolytica (MTCC 35)

Statistical optimization is an effective technique for the investigation of complex processes with minimal number of experimental runs. In this study, statistical approach was used to study the optimization of media components for lipase production from Yarrowia lipolytica MTCC 35. Mahua cake, glucose, MnCl2 and KH2PO4 were screened to be the most significant variables among the nine medium variables that were tested to determine influence on lipase production by Plackett–Burman design. Central Composite Design was used for further optimization of these screened variables for enhanced lipase production. The determination coefficient (R2) value of 0.922 showed that the regression models adequately explain the data variation and represent the actual relationships between the variables and response. The optimum values of investigated variables for the maximum lipase production were 6.0% Mahua cake, 2.0% glucose, 0.2% MnCl2 and 0.2% KH2PO4. The maximum lipase production (9.40 U mL−1) was obtained under optimal condition.