Biocompounds content prediction in Ecuadorian fruits using a mathematical model

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dc.contributor.authorLlerena Silva, Wilma Maribel
dc.contributor.authorSamaniego, Iván Rodrigo
dc.contributor.authorAngós Iturgaiz, Ignacio
dc.contributor.authorBrito, Beatriz
dc.contributor.authorOrtiz, Bladimir
dc.contributor.authorCarrillo, Wilman
dc.contributor.departmentAgronomía, Biotecnología y Alimentaciónes_ES
dc.contributor.departmentAgronomia, Bioteknologia eta Elikaduraeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.date.accessioned2024-02-09T15:45:56Z
dc.date.available2024-02-09T15:45:56Z
dc.date.issued2019
dc.date.updated2024-02-09T12:41:49Z
dc.description.abstractAnthocyanins, 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).en
dc.description.sponsorshipThe 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).en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLlerena, 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.en
dc.identifier.doi10.3390/foods8080284
dc.identifier.issn2304-8158
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/47401
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofFoods 2019, 8(8), 284en
dc.relation.publisherversionhttps://doi.org/10.3390/foods8080284
dc.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.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectChemometricsen
dc.subjectMathematical modelen
dc.subjectMetaheuristic techniquesen
dc.subjectColoren
dc.subjectArazaen
dc.subjectBlackberryen
dc.subjectAndean blueberryen
dc.subjectNaranjillaen
dc.subjectTamarilloen
dc.subjectGoldenberryen
dc.titleBiocompounds content prediction in Ecuadorian fruits using a mathematical modelen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication6c547250-8977-4c7e-8ebd-baa103f2e3a8
relation.isAuthorOfPublication.latestForDiscovery6c547250-8977-4c7e-8ebd-baa103f2e3a8

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