Data/hora: 08/06/2024 01:31:14

Biblioteca(s): 	Embrapa Semiárido.	
Data corrente: 	18/01/2017	
Data da última atualização: 	17/01/2018	
Autoria: 	MALEGORI, C.; MARQUES, E. J. N.; FREITAS, S. T. de; PIMENTEL, M. F.; PASQUINI, C.; CASIRAGHI, E.	
Afiliação: 	CRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; MARIA FERNANDA PIMENTEL, UFPE; CELIO PASQUINI, Institute of Chemistry, University of Campinas, Campinas (SP); ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy.	
Título: 	Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Talanta, v. 165, 112-116, 2017.	
DOI: 	10.1016/j.talanta.2016.12.035	
Idioma: 	Inglês	
Conteúdo: 	The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits.	
Palavras-Chave: 	Máquinas vector de suporte; MicroNIR; Partial Least Squares (PLS); Passing-Bablok regre; Regressão de Passo-Bablok; Support Vector Machines (SVM).	
Thesagro: 	Acerola; Acidez; Maturação; Vitamina C.	
Thesaurus Nal: 	Malpighia emarginata.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Semiárido (CPATSA)	
Exemplares: 	CPATSA - (56297-1) - UPC - AP - DD -  -  -  - DIS