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Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model

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 u...

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Autores principales: Llerena, Wilma, Samaniego, Iván, Angós, Ignacio, Brito, Beatriz, Ortiz, Bladimir, Carrillo, Wilman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723023/
https://www.ncbi.nlm.nih.gov/pubmed/31349551
http://dx.doi.org/10.3390/foods8080284
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author Llerena, Wilma
Samaniego, Iván
Angós, Ignacio
Brito, Beatriz
Ortiz, Bladimir
Carrillo, Wilman
author_facet Llerena, Wilma
Samaniego, Iván
Angós, Ignacio
Brito, Beatriz
Ortiz, Bladimir
Carrillo, Wilman
author_sort Llerena, Wilma
collection PubMed
description 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).
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spelling pubmed-67230232019-09-10 Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model Llerena, Wilma Samaniego, Iván Angós, Ignacio Brito, Beatriz Ortiz, Bladimir Carrillo, Wilman Foods Article 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). MDPI 2019-07-25 /pmc/articles/PMC6723023/ /pubmed/31349551 http://dx.doi.org/10.3390/foods8080284 Text en © 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Llerena, Wilma
Samaniego, Iván
Angós, Ignacio
Brito, Beatriz
Ortiz, Bladimir
Carrillo, Wilman
Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title_full Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title_fullStr Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title_full_unstemmed Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title_short Biocompounds Content Prediction in Ecuadorian Fruits Using a Mathematical Model
title_sort biocompounds content prediction in ecuadorian fruits using a mathematical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723023/
https://www.ncbi.nlm.nih.gov/pubmed/31349551
http://dx.doi.org/10.3390/foods8080284
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