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Wild fruits are known to play significant role in preventing free radicals mediated diseases. This property is largely due
to the phenolics and other metabolites present in the fruits which are reported to have strong antioxidant activity.
Considering to this study was designed to optimize the extraction of phenolics and antioxidants in Berberis asiatica fruits using
response surface methodology (RSM). Solvent selection was done based on the preliminary experiments and a three-levelfive-
factor, Central Composite Design (CCD) consisted of 46 experiments was conducted to analyzed the effect of extraction
temperature (X1: 30-80�° C), extraction time (X2: 30-90 min), sample to solvent ratio (X3: 1:10-1:50), pH of the solvent (X4:
3-5) and solvent concentration (X5: 20-80%) for extraction of total phenolic content (TPC), total anthocyanin content (TAC),
total tannins content (TTC) and antioxidant activity [2,2-azinobis-3-ethylbenzthiazoline-6-sul-phonic acid (ABTS)]. Results
revealed that extraction temperature (X1), sample to solvent ratio (X3) and solvent concentration (X5) significantly influenced
response variables and independent variables. The regression coefficient (R2) was found satisfactory for all the models. The
lack of fit was found non-significant (p>0.05) for TPC, TAC, and TTC indicating that the models could adequately fit the
experimental data. Response surface analysis showed that under optimal extraction conditions the phenolic antioxidant
extraction maximized. These values are in accordance with the predicted values indicating the success of RSM in optimizing
the extraction conditions. This method can be used further for scaling up nutraceutical and pharmaceutical applications and
also can be implemented in other fruits of the region for harnessing their potential in commercial sector.