Brazilian Canephora coffee evaluation using NIR spectroscopy and discriminant chemometric techniques

Autor(es)

Baqueta, Michel Rocha ; Alves, Enrique Anastacio ; Valderrama, Patricia ; Pallone, Juliana Azevedo Lima

• Tipo de documento: Artigo Científico
• Fonte: Journal of Food Composition and Analysis; v. 116, p. 10-pg., 2023-03-01.

Resumo

High-quality Brazilian Canephora coffees are rising to the level of specialty coffees in the face of a new industry perception. In this framework, spectra from 527 coffees were analyzed in the near-infrared (NIR) region. Prin-cipal component analysis distinguished Brazilian Canephora producing states, botanical varieties, low and high -quality Canephora, Canephora and Arabica, and Canephora with geographical indication (GI) from those without GI. Also, Canephora coffee cultivars from Western Brazilian Amazon were distinguished. Three multi-class PLS-DA (traditional, hard, and soft versions) were compared to discriminate 5 classes: Robusta Amazonico from traditional (1) and indigenous (2) producers of Rondonia, Conilon from Espirito Santo (3), Conilon from Bahia (4), and specialty Arabica (5). Binary PLS-DA discriminated GI Canephora and non-GI Canephora with 100% sensitivity and specificity. Carbohydrates, chlorogenic acids, lipids, caffeine, and proteins were dominant ab-sorption bands in coffee classifications. The proposed method is objective, simple, fast, and could be used in the routine analysis of coffee to verify claims of identity, variety, and origin. (AU)

• Processo FAPESP: 19/21062-0 - Descritores químicos e tecnologias verdes emergentes em combinação com quimiometria para caracterização e avaliação de cafés finos do Brasil
• Beneficiário: Michel Rocha Baqueta
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 22/03268-3 - Técnicas analíticas alternativas e ensaios de digestão in vitro para alimentos especiais
• Beneficiário: Juliana Azevedo Lima Pallone
• Modalidade de apoio: Auxílio à Pesquisa - Regular