Optimization of growth parameters for lipase production by Ganoderma lucidum using response surface methodology

Abstract

Lipases comprise a group of hydrolytic enzymes which catalyze reversibly the hydrolysis and synthesis of triacylglycerides in the oil water interface. In this study, a response surface approach was used to study the production of extracellular lipase from Ganoderma lucidum which has diverse applications in various fields. Interactions were studied for five different variables (moisture, canola oil cake, olive oil, pH and time of incubation) which were found influential for lipase production. Using the statistical approach (response surface methodology), the maximum yield of lipase (4838 U/gds) by G. lucidum was observed under optimum conditions. The optimum values of these parameters were as follows: canola oil cake (12.50 g), moisture level (60%), pH (4.5), olive oil as inducer (2.0%) and incubation period (96 h) at 30°C. Exploration of fungal diversity for improved production of lipases using statistical models makes it a high-profile area for novel discovery with enormous potential of massive returns.

Key words: Lipases, Ganoderma lucidum, statistical approach, solid state fermentation, incubation period, canola oil cake.