A statistical design approach has been used to optimize the production of biomass by Cunninghamella sp. 2A1, evaluated based on lipidless biomass. A 2 3 full factorial central composite design (CCD) was chosen to study the combined effects of three factors; ammonium tartrate, peptone and glucose concentrations. The p-value for each factors was < 0.05 suggesting that these factors have significant effect on the production of lipidless biomass. The production is represented by a linear model with p-value < 0.0001. The optimized medium consists of 3.86 g/l ammonium tartrate, 55.84 g/l glucose and 7.73 g/l peptone predicted 16.83 g/l lipidless biomass. Results from four replications based on the optimized medium produced 18.48 g/l lipidless biomass, which are in close agreement with the predicted value. The coefficient for glucose was the highest indicating it as the most significant factor affecting lipidless biomass production.

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