Title:	A novel and sustainable analytical strategy to control the origin and mitigate the fake coffee from Coffea canephora in Brazil.
Authors:	BAQUETA, M. R. DINIZ, P. H. G. D. MORAES NETO, V. F. de ALVES, E. A. VALDERRAMA, P. PALLONE, J. A. L.
Affiliation:	MICHEL ROCHA BAQUETA, UNIVERSIDADE ESTADUAL DE CAMPINAS; PAULO HENRIQUE GONÇALVES DIAS DINIZ, UNIVERSIDADE FEDERAL DO OESTE DA BAHIA; VENANCIO FERREIRA DE MORAES NETO, UNIVERSIDADE ESTADUAL DE CAMPINAS; ENRIQUE ANASTACIO ALVES, CPAF-RO; PATRÍCIA VALDERRAMA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; JULIANA AZEVEDO LIMA PALLONE, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Date Issued:	2026
Citation:	Food Control, v. 181, article 111750, Mar. 2026.
Description:	In this study, for the first time, non-destructive direct NIR spectroscopic analysis was employed to authenticate the geographical origins of specialty Brazilian Canephora coffees using Data-Driven Soft Independent Modeling of Class Analogy (DD-SIMCA) and to discriminate against multiple adulterants using Partial Least Squares Discriminant Analysis (PLS-DA).
Thesagro:	Coffea Canephora Fruto Qualidade Certificação de Produto Identificação
NAL Thesaurus:	Fruit quality Product certification Geographical Locations
ISSN:	0956-7135
DOI:	https://doi.org/10.1016/j.foodcont.2025.111750
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CPAF-RO)