Optimization and prediction of antioxidant properties of a tea-ginger extract.

Autor: Makanjuola SA; Department of Food Science and Technology, Federal University of Technology Akure, Nigeria., Enujiugha VN; Department of Food Science and Technology, Federal University of Technology Akure, Nigeria., Omoba OS; Department of Food Science and Technology, Federal University of Technology Akure, Nigeria., Sanni DM; Department of Biochemistry, Federal University of Technology Akure, Nigeria.
Jazyk: angličtina
Zdroj: Food science & nutrition [Food Sci Nutr] 2015 Sep; Vol. 3 (5), pp. 443-52. Date of Electronic Publication: 2015 Apr 27.
DOI: 10.1002/fsn3.237
Abstrakt: 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 R (2) 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 R (2) of 0.851, 0.736, and 0.905 for DPPH, TP, and TF, respectively.
Databáze: MEDLINE
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