Optimization and prediction of antioxidant properties of a tea‐ginger extract

Publisher: John Wiley & Sons Inc

E-ISSN: 2048-7177|3|5|443-452

ISSN: 2048-7177

Source: Food Science & Nutrition, Vol.3, Iss.5, 2015-09, pp. : 443-452

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Abstract

A response surface approach was used to investigate the effects of temperature, concentration, and time on the antioxidant properties (total flavonoid (TF), total phenol (TP), peroxide scavenging activity (PS), iron chelating activity (IC), DPPH radical‐scavenging ability (DPPH), ABTS assay (ABTS)) of aqueous extract of tea‐ginger (2:1) powder. Color indices, pH, and redox potential of the tea‐ginger powder were also measured and used as independent variables for the prediction of antioxidant properties of the extract using ordinary least square (OLSR), principal component (PCR), and partial least square (PLSR) regression. The R2 values for TP, TF, ABTS, and PS response surface models were 0.8873, 0.9639, 0.6485, and 0.5721, respectively. The OLSR, PCR, and PLSR were able to provide predictive models for DPPH, TP, and TF of the tea‐ginger extract (P < 0.05). The PLSR gave the most parsimonious model with an R2 of 0.851, 0.736, and 0.905 for DPPH, TP, and TF, respectively.