Biocompounds content prediction in Ecuadorian fruits using a mathematical model
Fecha
2019Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
10.3390/foods8080284
Resumen
Anthocyanins, carotenoids and polyphenols are biomolecules that give the characteristic
color to fruits. Carotenoids relate to yellow, orange and red colors whereas anthocyanins and
polyphenols mainly relate to purple and red colors. Presently, standard determination of antioxidants
is carried out using relatively complex methods and techniques. The aim of this study was to develop
a mathemat ...
[++]
Anthocyanins, carotenoids and polyphenols are biomolecules that give the characteristic
color to fruits. Carotenoids relate to yellow, orange and red colors whereas anthocyanins and
polyphenols mainly relate to purple and red colors. Presently, standard determination of antioxidants
is carried out using relatively complex methods and techniques. The aim of this study was to develop
a mathematical prediction model to relate the internal color parameters of the Amazonic fruits araza
(Eugenia stipitata Mc Vaugh), Andean fruit blackberry (Rubus glaucus Benth), Andean blueberry
(Vaccinium floribundum Kunth), goldenberry (Physalis peruviana L.), naranjilla (Solanum quitoense Lam.),
and tamarillo (Solanum betaceum Cav.) to their respective anthocyanins, carotenoids and polyphenols
contents. The mathematical model was effective in predicting the total anthocyanins content (TAC),
the total carotenoids content (TCC) and finally the total phenolic content (TPC) of fruits assayed.
Andean blueberry presented a TPC with an experimental value of 7254.62 (mg GAE/100 g sample)
with respect to a TPC prediction value of 7315.73 (mg GAE/100 g sample). Andean blackberry
presented a TAC with an experimental value of 1416.69 (mg chloride cyanidin 3-glucoside/100 g) with
respect to a prediction TAC value of 1413 (mg chloride cyanidin 3-glucoside/100 g). [--]
Materias
Chemometrics,
Mathematical model,
Metaheuristic techniques,
Color,
Araza,
Blackberry,
Andean blueberry,
Naranjilla,
Tamarillo,
Goldenberry
Editor
MDPI
Publicado en
Foods 2019, 8(8), 284
Departamento
Universidad Pública de Navarra. Departamento de Agronomía, Biotecnología y Alimentación /
Nafarroako Unibertsitate Publikoa. Agronomia, Bioteknologia eta Elikadura Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
Versión del editor
Entidades Financiadoras
The authors gratefully acknowledge that the successful execution of this research work was achieved
thanks to the key funding support of the Project 21005270032 belonging to the Strenghthening Institutional
Program of the Ecuadorian National Institute of Agricultural Research (INIAP).