Biocompounds content prediction in Ecuadorian fruits using a mathematical model

Date

2019

Authors

Llerena Silva, Wilma Maribel
Samaniego, Iván Rodrigo
Brito, Beatriz
Ortiz, Bladimir
Carrillo, Wilman

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

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Impacto
Google Scholar
No disponible en Scopus

Abstract

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).

Description

Keywords

Chemometrics, Mathematical model, Metaheuristic techniques, Color, Araza, Blackberry, Andean blueberry, Naranjilla, Tamarillo, Goldenberry

Department

Agronomía, Biotecnología y Alimentación / Agronomia, Bioteknologia eta Elikadura / Institute on Innovation and Sustainable Development in Food Chain - ISFOOD

Faculty/School

Degree

Doctorate program

item.page.cita

Llerena, Wilma, Samaniego, Iván, Angós, Ignacio, Brito, Beatriz, Ortiz, Bladimir, Carrillo, Wilman (2019) Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model. Foods, 8(8). https://doi.org/10.3390/foods8080284.

item.page.rights

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

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