Determination of soluble solid content in market tomatoes using near-infrared spectroscopy

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dc.contributor.authorBrito, Annelisa Arruda de
dc.contributor.authorCampos, Fernanda
dc.contributor.authorNascimento, Abadia dos Reis
dc.contributor.authorCorrêa, Gilmarcos de Carvalho
dc.contributor.authorSilva, Flávio Alves da
dc.contributor.authorTeixeira, Gustavo Henrique de Almeida [UNESP]
dc.contributor.authorCunha Júnior, Luis Carlos
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:25:45Z
dc.date.available2021-06-25T10:25:45Z
dc.date.issued2021-08-01
dc.description.abstractTomatoes are widely consumed worldwide, and the soluble solid content (SSC) is one of the most important quality parameters for the commercialization of fresh tomatoes, mainly in the salad group. In this regard, partial least square models for intact tomatoes SSC were developed using a portable F-750 Vis-near-infrared (NIR) with Zeiss MMS1-NIR spectrometer in an interactance geometry. Thus, tomatoes from five regions (states of Goiás, Bahia, Santa Catarina, Minas Gerais, and São Paulo) were collected weekly from November 2018 to November 2019, with a total sample number of 2.085, divided into three populations, two for calibration and one for prediction. The best partial least squares regression prediction model was obtained using the Vis-NIR spectral region of 840–1050 nm with Orthogonal Signal Correction (OSC) pre-treatment applied. The calibration population standard deviation (SD) was 0.52%, and for the prediction population, the SD was 0.56%. Low root mean square error cross-calibration of 0.32%, and root mean square error prediction of 0.32% were achieved. The models were able to discriminate low from high values and vice versa.en
dc.description.affiliationUniversidade Federal de Goiás Escola de Agronomia Programa de Pós-Graduação Em Agronomia Goiânia – GO Universidade Federal de Goiás Rodovia Goiânia-Nova Veneza, Km 0 S/n Campus, Samambaia
dc.description.affiliationUniversidade Federal de Goiás Escola de Agronomia Goiânia – GO Universidade Federal de Goiás Rodovia Goiânia-Nova Veneza, Km 0 S/n Campus, Samambaia
dc.description.affiliationUniversidade Federal de Goiás Escola de Agronomia Departamento de Horticultura Goiânia – GO Universidade Federal de Goiás Rodovia Goiânia-Nova Veneza, Km 0 S/n Campus, Samambaia
dc.description.affiliationUniversidade Federal de Goiás Escola de Agronomia Departamento de Engenharia de Alimentos Goiânia – GO. Universidade Federal de Goiás Rodovia Goiânia-Nova Veneza, Km 0 S/n Campus, Samambaia
dc.description.affiliationUniversidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane S/n
dc.description.affiliationUnespUniversidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane S/n
dc.description.sponsorshipMinistério da Ciência, Tecnologia, Inovações e Comunicações
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 406617/2018-0
dc.identifierhttp://dx.doi.org/10.1016/j.foodcont.2021.108068
dc.identifier.citationFood Control, v. 126.
dc.identifier.doi10.1016/j.foodcont.2021.108068
dc.identifier.issn0956-7135
dc.identifier.scopus2-s2.0-85102598910
dc.identifier.urihttp://hdl.handle.net/11449/206051
dc.language.isoeng
dc.relation.ispartofFood Control
dc.sourceScopus
dc.subjectPartial least squares regression
dc.subjectPCA
dc.subjectQuality
dc.subjectSolanum lycopersicum L.
dc.titleDetermination of soluble solid content in market tomatoes using near-infrared spectroscopyen
dc.typeArtigo
unesp.author.orcid0000-0003-0527-5970[1]
unesp.author.orcid0000-0002-3918-7752[4]
unesp.author.orcid0000-0001-7490-4537[7]

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