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dc.contributor.authorVILVERT, J. C.
dc.contributor.authorSANTOS, L. F. dos
dc.contributor.authorCARDOSO, A. D.
dc.contributor.authorLOPES, P. R. C.
dc.contributor.authorAMARANTE, C. V. T. do
dc.contributor.authorFREITAS, S. T. de
dc.date.accessioned2023-06-15T15:24:52Z-
dc.date.available2023-06-15T15:24:52Z-
dc.date.created2023-06-15
dc.date.issued2023
dc.identifier.citationRevista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443-
dc.descriptionThe objective of this study was to evaluate the performance of a hand-held NIR spectrometer for non-destructive quality analysis of apples and pears produced in the Brazilian Semi-arid region. NIR spectra were acquired with a portable spectrometer in the wavelength range of 750–1065 nm and reference analyses of dry matter content (DMC) and soluble solids content (SSC) were measured weekly during 10 weeks of storage at 0.5 °C. Spectra were pre-processed with standard normal variate and used to develop DMC and SSC models using partial least squares re- gression with full cross-validation. The models were validated using data not included in the calibration. Satisfactory prediction results were obtained for SSC in apples (R² = 0.58) and pears (R² = 0.55), and for DMC in apples (R² = 0.55) and pears (R² = 0.65). All prediction models showed a relative root mean square error of prediction lower than 8%. These findings indicate that the NIR spectrometer is a promising tool to be used for a rapid and non-destructive determination of internal quality traits in apples and pears.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectRegressão de mínimos quadrados parciais
dc.subjectRegressão multivariada
dc.subjectQualidade do fruto
dc.subjectSólidos solúveis
dc.subjectQuimiometria
dc.subjectEspectrômetro portátil NIR
dc.titleNon-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics.
dc.typeArtigo de periódico
dc.subject.thesagroMaçã
dc.subject.thesagroPêra
dc.subject.thesagroPós-Colheita
dc.subject.thesagroMatéria Seca
dc.subject.nalthesaurusFruit quality
dc.subject.nalthesaurusTotal soluble solids
dc.subject.nalthesaurusDry matter intake
dc.subject.nalthesaurusApples
dc.subject.nalthesaurusPears
riaa.ainfo.id1154443
riaa.ainfo.lastupdate2023-06-15
dc.identifier.doihttps://dx.doi.org/10.1590/0100-29452023969
dc.contributor.institutionJOÃO CLAUDIO VILVERT, State University of Southwestern Bahia, Vitória da Conquista-BA; LUANA FERREIRA DOS SANTOS; ADRIANA DIAS CARDOSO, State University of Southwestern Bahia, Vitória da Conquista-BA; PAULO ROBERTO COELHO LOPES, CPATSA; CASSANDRO VIDAL TALAMINI DO AMARANTE, State University of Santa Catarina, Lages-SC; SERGIO TONETTO DE FREITAS, CPATSA.
Aparece nas coleções:Artigo em periódico indexado (CPATSA)

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