Optimization of Environmental Conditions and Kinetics Modeling for the Production of γ-decalactone using Sporidiobolus Salmonicolor

γ-decalactone is a natural flavor compound having high potential in wide range of application like food, pharmaceutical and cosmetics industry. γ-decalactone is an aroma compound which present naturally in many fruits and fermented products, is produced by members of the genus Sporidiobolus. In this study the effect of various environmental conditions such as temperature, pH, glucose and inoculum size on the production of γ-decalactone by Sporidiobolus salmonicolor MTCC*485 in batch reactor was studied using the optimized media.γ-decalactone in fermentation broth was estimated using liquid state NMR (BRUKER Inc., Switzerland). The optimum temperature, pH, glucose and inoculum size for the growth and γ-decalactone production were found to be 30°C, 6.5, 1.5% (w/v) and 6% (v/v) respectively. The experiments were carried out to establish the kinetics of γ-decalactone production by measuring cell mass, γ-decalactone and glucose concentration as a function of time in a batch reactor under optimum conditions. Growth kinetics models such as Monod, Logistics and Modified logistics were used to predict the experimental data. The model parameters were evaluated then used to simulate the profile of biomass, γ-decalactone, and glucose concentration during entire course of fermentation. The Monod, Monod incorporated Leudeking-Piret (MLP), and Monod incorporated modified Leudeking-Piret (MMLP) models were inadequate and these models predict lesser biomass, γ-decalactone accumulation, and glucose consumption during the experimental growth phase. The data from modified logistic (ML), MLLP, and MLMLP showed lesser efficiency then these models. It was found that the Logistic, LLP, LMLP were better-predicted model for the production of γ-decalactone.