dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal do Rio Grande do Norte (UFRN)
dc.creatorTorres Mariani, Nathalia Cristina
dc.creatorAlmeida Teixeira, Gustavo Henrique de [UNESP]
dc.creatorGomes de Lima, Kassio Michell
dc.creatorMorgenstern, Thayara Bittencourt
dc.creatorNardini, Viviani
dc.creatorCunha Júnior, Luis Carlos
dc.date2015-10-21T20:28:39Z
dc.date2015-10-21T20:28:39Z
dc.date2015-05-01
dc.date.accessioned2023-09-12T06:49:35Z
dc.date.available2023-09-12T06:49:35Z
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0308814614017336
dc.identifierFood Chemistry. Oxford: Elsevier Sci Ltd, v. 174, p. 643-648, 2015.
dc.identifier0308-8146
dc.identifierhttp://hdl.handle.net/11449/129156
dc.identifier10.1016/j.foodchem.2014.11.008
dc.identifierWOS:000348088000088
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8778496
dc.descriptionThe 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.
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFAPERN
dc.descriptionPró-Reitoria de Pesquisa da Universidade de São Paulo
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFaculdade 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.descriptionUFRN, Instituto de Química, PPGQ, Química Biológica e Quimiometria, 59072-970 Natal, RN, Brazil
dc.descriptionUSP, Faculdade de Medicina de Ribeirão Preto, Av. do Café, s/n, Campus Universitário da USP, Ribeirão Preto, 14040-903 São Paulo, Brazil.
dc.descriptionUNESP, 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.descriptionCNPq: 070/2012
dc.descriptionFAPERN: 005/2012
dc.descriptionPro-Reitoria de Pesquisa da Universidade de São Paulo: 10.1.25403.1.1
dc.descriptionPró-Reitoria de Pesquisa da Universidade de Sao Paulo: 2011.1.6858.1.8
dc.descriptionFAPESP: 2008/51408-1
dc.descriptionCNPq: 477386/2011-3
dc.format643-648
dc.languageeng
dc.publisherElsevier B.V.
dc.relationFood Chemistry
dc.relation4.946
dc.relation1,793
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectNIRS
dc.subjectiSPA-PLS
dc.subjectWavelength selection
dc.subjectJaboticaba
dc.subjectPLS
dc.titleNIRS and iSPA-PLS for predicting total anthocyanin content in jaboticaba fruit
dc.typeArtigo


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