Data/hora: 15/06/2024 13:47:15

Biblioteca(s): 	Embrapa Instrumentação.	
Data corrente: 	27/08/2020	
Data da última atualização: 	16/08/2022	
Autoria: 	BORBA, K. R.; SPRICIGO, P. C.; AYKAS, D. P.; FOSCHINI, M. M.; COLNAGO, L. A.; FERREIRA, M. D.	
Afiliação: 	MILENE CORSO MITSUYUKI, CNPDIA; LUIZ ALBERTO COLNAGO, CNPDIA; MARCOS DAVID FERREIRA, CNPDIA.	
Título: 	Non-invasive quantification of vitamin C, citric acid, and sugar in "Valência" oranges using infrared spectroscopies.	
Ano de publicação: 	2021	
Fonte/Imprenta: 	Journal of Food Science and Technology,v. 58, n. 2 2021.	
Páginas: 	731-738	
ISSN: 	0022-1155	
DOI: 	https://doi.org/10.1007/s13197-020-04589-x	
Idioma: 	Inglês	
Conteúdo: 	Near (NIR) and mid (MIR) infrared spectroscopies have been studied as potential methods for non-destructive analyses of the fresh fruits quality. In this study, vitamin C, citric acid, total and reducing sugar content in ‘Valência’ oranges were evaluated using NIR and MIR spectroscopy with multivariate analysis. The spectral data were used to build up prediction models based on PLS (Partial Least Squares) regression. For vitamin C and citric acid, both NIR (r = 0.72 and 0.77, respectively) and MIR (0.81 and 0.91, respectively) resulted in feasible models. For sugars determination the two techniques presented a strong correlation between the reference values and analytical signals, with low RMSEP and r > 0.70 (NIR: sucrose RMSEP = 12.2 and r = 0.75; glucose RMSEP = 6.77 and r = 0.82; fructose RMSEP = 5.07 and r = 0.81; total sugar RMSEP = 12.1 and r = 0.80; reducing sugar RMSEP = 20.32 and r = 0.82; MIR: sucrose RMSEP = 9.47 and r = 0.80; glucose RMSEP = 6.70 and r = 0.82; fructose RMSEP = 5.20 and r = 0.81; total sugar RMSEP = 11.72 and r = 0.81; reducing sugar RMSEP = 20.42 and r = 0.81). The models developed with MIR presented lower prediction error rates than those made with NIR. Therefore, infrared techniques show applicability to determine of orange quality parameters in a non-destructive way.	
Palavras-Chave: 	Intact fruit quality; MIR; NIR; Non-destructive analyses; PLS.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Instrumentação (CNPDIA)	
Exemplares: 	CNPDIA - (17571-1) - UPC - AP - DD - PROCI.21/04 -  - 2020/0061 - DIS