NIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruit

dc.contributor.authorTorres Mariani, Nathalia Cristina
dc.contributor.authorAlmeida Teixeira, Gustavo Henrique de [UNESP]
dc.contributor.authorGomes de Lima, Kassio Michell
dc.contributor.authorMorgenstern, Thayara Bittencourt
dc.contributor.authorNardini, Viviani
dc.contributor.authorCunha Júnior, Luis Carlos
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Rio Grande do Norte (UFRN)
dc.date.accessioned2015-10-21T20:28:39Z
dc.date.available2015-10-21T20:28:39Z
dc.date.issued2015-05-01
dc.description.abstractThe aim of this study was to evaluate the potential of the successive projection algorithm for interval selection in partial least squares (iSPA-PLS) together with near-infrared reflectance spectroscopy (NIRS) as a feasible method to determine the total anthocyanin content (TAC) of intact jaboticaba fruit [Myrciaria jaboticaba (Vell.) O. Berg]. A total of 579 jaboticaba fruit were collected in three different harvests in three separate years (2011 and 2013). The correlation coefficients between the predicted and measured TAC were between 0.65 and 0.89, the RMSEPs were 7.55 g kg(-1) and 9.35 g kg(-1) (good accuracy) for prediction set, respectively. The RPD ratios for TAC were in the range of 2.57-3.19 with iSPA-PLS, which showed better predictive performance (acceptable precision). These results suggest that the NIR spectroscopy and wavelength selection (iSPA-PLS) algorithm can be used to determine the TAC of intact jaboticaba fruit. (C) 2014 Elsevier Ltd. All rights reserved.en
dc.description.affiliationFaculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas, Av. do Café, s/n. Campus Universitário da USP, Ribeirão Preto, 14040-903 São Paulo, Brazil
dc.description.affiliationUFRN, Instituto de Química, PPGQ, Química Biológica e Quimiometria, 59072-970 Natal, RN, Brazil
dc.description.affiliationUSP, Faculdade de Medicina de Ribeirão Preto, Av. do Café, s/n, Campus Universitário da USP, Ribeirão Preto, 14040-903 São Paulo, Brazil.
dc.description.affiliationUnespUNESP, Faculdade de Ciências Agrárias e Veterinárias, Departamento de Produção Vegetal, Via de Acesso Prof. Paulo Donato Castellane s/n, Jaboticabal, 14884-900 São Paulo, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFAPERN
dc.description.sponsorshipPró-Reitoria de Pesquisa da Universidade de São Paulo
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCNPq: 070/2012
dc.description.sponsorshipIdFAPERN: 005/2012
dc.description.sponsorshipIdPro-Reitoria de Pesquisa da Universidade de São Paulo: 10.1.25403.1.1
dc.description.sponsorshipIdPró-Reitoria de Pesquisa da Universidade de Sao Paulo: 2011.1.6858.1.8
dc.description.sponsorshipIdFAPESP: 2008/51408-1
dc.description.sponsorshipIdCNPq: 477386/2011-3
dc.format.extent643-648
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0308814614017336
dc.identifier.citationFood Chemistry. Oxford: Elsevier Sci Ltd, v. 174, p. 643-648, 2015.
dc.identifier.doi10.1016/j.foodchem.2014.11.008
dc.identifier.issn0308-8146
dc.identifier.urihttp://hdl.handle.net/11449/129156
dc.identifier.wosWOS:000348088000088
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofFood Chemistry
dc.relation.ispartofjcr4.946
dc.relation.ispartofsjr1,793
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectNIRSen
dc.subjectiSPA-PLSen
dc.subjectWavelength selectionen
dc.subjectJaboticabaen
dc.subjectPLSen
dc.titleNIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruiten
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentProdução Vegetal - FCAVpt

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