In present study, a quadratic regression model based on the response surface methodology (RSM) coupled with Box-Behnken design (BBD) was employed to optimize the enzyme-assisted extraction (EAE) process of enzymatic-extractable Pleurotus djamor polysaccharides (EnPPs). By solving the regression equations and analyzing the model graphs, the optimum conditions were at pH 7.36, water to material ratio 56.78, extraction time 44.77min and extraction temperature 35.36°C, respectively. Under these conditions, the experimental yields of EnPPs reached 3.61%, which were in good agreement with the validated values (3.57±0.51%). Basic physicochemical properties including molecular weights, structural identification by FT-IR and monosaccharide compositions were processed. In addition, the in vivo inhibiting activities against oxidative stress were investigated. The results provided an alternative bioresource for the exploitation of EnPPs under EAE from P. djamor, and the EnPPs had potential effects in prevention of oxidative stress.
Keywords: Antioxidant; Characterization; Enzymatic-extractable polysaccharides; Optimization; Pleurotus djamor.
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