Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443
Título: Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics.
Autoria: VILVERT, J. C.
SANTOS, L. F. dos
CARDOSO, A. D.
LOPES, P. R. C.
AMARANTE, C. V. T. do
FREITAS, S. T. de
Afiliação: JOÃO 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.
Ano de publicação: 2023
Referência: Revista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023.
Conteúdo: The 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.
Thesagro: Maçã
Pêra
Pós-Colheita
Matéria Seca
NAL Thesaurus: Fruit quality
Total soluble solids
Dry matter intake
Apples
Pears
Palavras-chave: Regressão de mínimos quadrados parciais
Regressão multivariada
Qualidade do fruto
Sólidos solúveis
Quimiometria
Espectrômetro portátil NIR
Digital Object Identifier: https://dx.doi.org/10.1590/0100-29452023969
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CPATSA)


FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace