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SPME-GC-MS untargeted metabolomics approach to identify potential volatile compounds as markers for fraud detection in roasted and ground coffee.
Couto, Cinthia de Carvalho; Chávez, Davy William Hidalgo; Oliveira, Edna Maria Morais; Freitas-Silva, Otniel; Casal, Susana.
Afiliación
  • Couto CC; Food and Nutrition Graduate Program, the Federal University of State of Rio de Janeiro, Av. Pasteur, 296, 22290-240 Rio de Janeiro, Brazil. Electronic address: cinthiaccouto@gmail.com.
  • Chávez DWH; Graduate Program in Food Science and Technology, Federal Rural University of Rio de Janeiro (PPGCTA-UFRRJ), Rodovia Br 465, km 7, 23890-000 Seropédica, Brazil. Electronic address: davyhw76@gmail.com.
  • Oliveira EMM; Embrapa Agroindústria de Alimentos, Av. das Américas, 29501, 23020-470 Rio de Janeiro, Brazil. Electronic address: edna.oliveira@gmail.com.
  • Freitas-Silva O; Embrapa Agroindústria de Alimentos, Av. das Américas, 29501, 23020-470 Rio de Janeiro, Brazil. Electronic address: otniel.freitas@embrapa.br.
  • Casal S; LAQV/REQUIMTE, Laboratory of Bromatology and Hydrology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Food Chem ; 446: 138862, 2024 Jul 15.
Article en En | MEDLINE | ID: mdl-38430775
ABSTRACT
Roasted ground coffee has been intentionally adulterated for economic revenue. This work aims to use an untargeted strategy to process SPME-GC-MS data coupled with chemometrics to identify volatile compounds (VOCs) as possible markers to discriminate Arabica coffee and its main adulterants (corn, barley, soybean, rice, coffee husks, and Robusta coffee). Principal Component Analysis (PCA) showed the difference between roasted ground coffee and adulterants, while the Hierarchical Clustering of Principal Components (HCPC) and heat map showed a trend of adulterants separation. The partial Least-Squares Discriminant Analysis (PLS-DA) approach confirmed the PCA results. Finally, 24 VOCs were putatively identified, and 11 VOCs are candidates for potential markers to detect coffee fraud, found exclusively in one type of adulterant coffee husks, soybean, and rice. The results for possible markers may be suitable for evaluating the authenticity of ground-roasted coffee, thus acting as a coffee fraud control and prevention tool.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Coffea / Microextracción en Fase Sólida Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Coffea / Microextracción en Fase Sólida Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido