Colorimetric Analysis of Hibiscus Beverages and their Potential Antioxidant Properties
2018
Camelo-Méndez, G. A. | Vanegas-Espinoza, P. E. | Escudero-Gilete, M. L. | Heredia, F. J. | Paredes-López, O. | Del Villar-Martínez, A. A.
In food industry, roselle beverages and their subproducts could be functional ingredients since they are an excellent source of bioactive compounds with improved performance due to their important anthocyanins content. The aim of this study was to analyze anthocyanin content and antioxidant properties of aqueous infusions elaborated with color contrasting Hibiscus materials and design a mathematical model in order to predict color-composition relationship. Color measurements of beverages from roselle (Negra, Sudan and Rosa) were made by transmission spectrophotometry, anthocyanins quantification was determined by HPLC, and antioxidant potential was evaluated by in vitro methods (ABTS and FRAP assays). Beverages prepared with particle size minor of 250 μm presented until 4- and 2- times more anthocyanins content and antioxidant capacity respectively, in comparison to beverages prepared with powders with particle size major of 750 μm. Positive correlations among pigments composition and color parameters were found (p < 0.05), showing that anthocyanins content, antioxidant capacity, C*ₐb and hₐb values increased in relation with the smallest particle size of flours. Also, mathematical models were stablished to predict anthocyanin content (r ≥ 0.97) and antioxidant capacity (r ≥ 0.89) from color data; we propose equations for quick estimation of the antioxidant capacity in the Hibiscus beverages with high anthocyanin content. The obtained models could be an important tool to be used in food industry for pigment characterization or functional compounds with potential health benefits.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Library
Découvrez la collection de ce fournisseur de données dans AGRIS