Discrimination of Robusta Amazonico coffee farmed by indigenous and non-indigenous people in Amazon: comparing benchtop and portable NIR using ComDim and duplex

Autor(es)

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

• Tipo de documento: Artigo Científico
• Fonte: ANALYST; v. 148, n. 7, p. 10-pg., 2023-02-28.

Resumo

Robusta Amazonico is the name given to the Amazonian coffee that has been becoming popular and has recently been registered as a geographical indication in Brazil. It is produced by indigenous and non-indigenous coffee producers in regions that are geographically very close to one another. There is a need to authenticate whether coffee is truly produced by indigenous people and near-infrared (NIR) spectroscopy is an excellent technique for this. To meet the substantial trend towards NIR spectroscopy miniaturization, this work compared benchtop and portable NIR instruments to discriminate Robusta Amazonico samples using partial least squares discriminant analysis (PLS-DA). To ensure the results to be fairly comparable and, at the same time, to guarantee representative selection of both training and test set for the discriminant analysis, a sample selection strategy based on coupling ComDim multi-block analysis and the duplex algorithm was applied. Different pre-processing techniques were tested to create multiple matrices to be used in ComDim, as well as to build the discriminant models. The best PLS-DA model for benchtop NIR provided an accuracy of 96% for the test samples, while for the portable NIR the correct classification rate was 92%. It was demonstrated that portable NIR provides similar results to benchtop NIR for coffee origin classification by performing an unbiased sample selection strategy. (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
• Processo FAPESP: 22/04068-8 - Abordagens analíticas inovadoras baseadas em quimiometria para avaliação multiplataforma de cafés canéforas do Brasil com indicação geográfica
• Beneficiário: Michel Rocha Baqueta
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado