| Texto completo | |
| Autor(es): |
Baqueta, Michel Rocha
;
Diniz, Paulo Henrique Goncalves Dias
;
de Moraes Neto, Venancio Ferreira
;
Alves, Enrique Anastacio
;
Valderrama, Patricia
;
Pallone, Juliana Azevedo Lima
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | FOOD CONTROL; v. 181, p. 10-pg., 2026-03-01. |
| Resumo | |
The increasing price of coffee, mainly in Brazil, has led to the production and sale of coffee substitutes made from alternative ingredients such as coffee husks, soy, corn, and a & ccedil;ai, among others. They are becoming known as fake coffee. Coffea canephora from Brazilian terroirs has attracted growing attention, but this heightened focus has also made it a prime target for intentional fraud, affecting both its pricing and credibility. This study explores the use of reflectance spectroscopy based on near-infrared region to verify the authenticity of the Conilon variety from Espirito Santo (80 pure samples and 640 adulterated samples) and the Robusta variety from Rondonia, sourced from both indigenous (80 pure samples and 640 adulterated samples) and non-indigenous producers (80 pure samples and 640 adulterated samples). Data-Driven Soft Independent Modeling of Class Analogy (DDSIMCA) authenticated these coffees by geographical origins and detected adulterants such as a & ccedil;ai seeds, corn, soybean, arabica coffee, coffee husks, and spent coffee grounds. Espirito Santo Conilon was tested as an adulterant for Rondonia samples. Multi-class Partial Least Squares Discriminant Analysis (PLS-DA) differentiated these adulterants implementing a Monte Carlo cross-validation with 20 % data hold-out. The developed method achieved 100 % accuracy with DD-SIMCA and 99.6 % with PLS-DA, detecting up to 10 % w/w of adulteration. These results surpass both previous studies on coffee adulteration detection using NIRS and other analytical techniques in terms of accuracy. (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 |
| Processo FAPESP: | 25/12160-0 - 39th EFFoST International Conference 2025 |
| Beneficiário: | Juliana Azevedo Lima Pallone |
| Modalidade de apoio: | Auxílio à Pesquisa - Reunião - Exterior |