Abstract
A second-order central composite design was employed to estimate the effects of some independent variables on laccase production by an isolated filamentous fungus of genus Aspergillus from olive mill waste using submerged fermentation. A polynomial regression model with cubic and quadratic terms was applied to the experimental data analysis. The significant effects of pH, Cu2+ and biphenyl concentration on the enzyme production were observed, and the strongest effect—of Cu2+ concentration. Estimated optimum conditions of the parameters on the laccase production were as follows: glucose concentration—9.5 g L–1, initial pH 5.1, Cu2+ concentration—7.4 mM and biphenyl concentration—0.39%w v–1.
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Khirollahi, F., Anvari, M., Shahriarinour, M. et al. Response Surface Methodology for Optimization of Laccase Production by a Novel Native Aspergillus Strain Isolated from Olive Mill Wastes. Moscow Univ. Biol.Sci. Bull. 77, 238–244 (2022). https://doi.org/10.3103/S0096392522040113
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DOI: https://doi.org/10.3103/S0096392522040113