Data/hora: 09/06/2024 06:45:47

Biblioteca(s): 	Embrapa Rondônia.	
Data corrente: 	24/04/2024	
Data da última atualização: 	30/04/2024	
Autoria: 	BAQUETA, M. R.; MARINI, F.; ROCHA, R. B.; VALDERRAMA, P.; PALLONE, J. A. L.	
Afiliação: 	MICHEL ROCHA BAQUETA, UNIVERSIDADE DE CAMPINAS; FEDERICO MARINI, UNIVERSITY OF ROME; RODRIGO BARROS ROCHA, CPAF-RO; PATRÍCIA VALDERRAMA UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; JULIANA AZEVEDO LIMA PALLONE, UNIVERSIDADE DE CAMPINAS.	
Título: 	Authentication and discrimination of new Brazilian Canephora coffees with geographical indication using a miniaturized near-infrared spectrometer.	
Ano de publicação: 	2023	
Fonte/Imprenta: 	Food Research International, v. 172, 2023.	
Idioma: 	Inglês	
Conteúdo: 	New Brazilian Canephora coffees (Conilon and Robusta) of high added value from specific origins have been protected by geographical indication to guarantee their origin and quality. Recently, benchtop near-infrared (NIR) spectroscopy combined with chemometrics has demonstrated its usefulness to discriminate them. It was the first study, however, and therefore the possibility exists to develop a new portable NIR method for this purpose. This work assessed a miniaturized NIR as a cheaper spectrometer to discriminate and authenticate new Brazilian Canephora coffees with certified geographical origins and to differentiate them from specialty Arabica. Discriminant chemometric and class modeling techniques have been applied and have obtained good predictive ability on external test sets. In addition, models with similar classification purpose were compared with those obtained in previous research carried out with benchtop NIR for the same samples, obtaining comparable results. In this context, the portable method was used as a laboratory technique and has the advantage of being cheaper than benchtop NIR spectrometer. Furthermore, it brings a high possibility to be implemented in small coffee cooperatives, industries or control agencies in the future that do not have high economic resources.	
Palavras-Chave: 	Authentication; DD-SIMCA; Geographical origin; MicroNIR; PLS-DA.	
Thesaurus Nal: 	Chemometrics.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163881/1/3-Baqueta-Food-Res-Int-Portable-NIR-2023-AINFO.pdf	
Registro original: 	Embrapa Rondônia (CPAF-RO)	
Exemplares: 	CPAF-RO - (19076-1) - UPC - AP - DD -  -  -  - DIS