Abstract:Response surface methodology was used to determine optimum conditions for extraction of protein from peanut meal based on the results of single factor experiments.A central composite design including independent variables such as ethanol content，solvent/meal ratio，extraction time，and pH.Protein extraction yield was used as the response value.Selected response which evaluates the extraction effect was protein yield and the second-order model obtained for protein yield revealed coefficient of correlation of 96.9%.Protein extraction yield was primarily affected by pH，extraction time and solvent/meal ratio.The maximum yield was obtained when the ethanol content，pH，extraction time and solvent/meal ratio were 60%，6.4，70 min，23 ∶1（mL/g），respectively.Under these conditions，the extraction rate of soluble protein of peanut meal was 63.16%.The adequacy of the model was confirmed by the experimental results under optimum values given by the model.The research indicated that CCD-RSM could be proven to be process optimization of soluble proteins from peanut meal.