Data/hora: 24/09/2024 03:53:47

Biblioteca(s): 	Embrapa Semiárido.	
Data corrente: 	15/06/2023	
Data da última atualização: 	15/06/2023	
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.	
Título: 	Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics.	
Ano de publicação: 	2023	
Fonte/Imprenta: 	Revista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023.	
DOI: 	https://dx.doi.org/10.1590/0100-29452023969	
Idioma: 	Inglês	
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.	
Palavras-Chave: 	Espectrômetro portátil NIR; Qualidade do fruto; Quimiometria; Regressão de mínimos quadrados parciais; Regressão multivariada; Sólidos solúveis.	
Thesagro: 	Maçã; Matéria Seca; Pêra; Pós-Colheita.	
Thesaurus Nal: 	Apples; Dry matter intake; Fruit quality; Pears; Total soluble solids.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154443/1/Non-destructive-assessment-of-quality-traits-in-apples-and-pears-using-near-infrared-spectroscopy-and-chemometrics-2023.pdf	
Registro original: 	Embrapa Semiárido (CPATSA)	
Exemplares: 	CPATSA - (60451-1) - UPC - AP - DD -  -  -  - DIS