Modelling of the Rice Bran Protein Extraction using Response Surface Methodology

Abstract

Abstract Rice bran is a natural by-product that is produced by the rice milling process in the rice industry. In this study, the modelling of the protein extraction from rice bran using Soni- auto hybrid method was evaluate via response surface methodology (RSM). Soni-auto hybrid method are the combination of the autoclaving extraction followed by sonication process. The experimental design for this process was performed using Response Surface Methodology (RSM) with Central Composite Design (CCD) model in Design Expert software. Three variables parameters namely solvent to sample ratio from 1:20 to 1:40, sonication temperature from 40 to 60°C and 20 to 40 minutes was evaluated. The response variable in this study are protein concentration. A highly accurate empirical quadratic response model for protein concentration was developed for three independent variable with adjusted R-squared value for the model was 0.8933. Two parameters; temperature and feed-to-solvent ratio give a significant effect (p < 0.05) on protein concentration. Meanwhile, extraction times are not given the significant on this response. The model will be used to obtain the optimum condition for the process.