Volatiles as chemical markers suitable for identification of the geographical origin of green Coffea arabica L. (June 2022)

• Record Type: Journal Article
• Authors: Demianová, Alžbeta; Bobková, Alica; Lidiková, Judita; Jurčaga, Lukáš; Bobko, Marek; Belej, Ľubomír; Kolek, Emil; Poláková, Katarína; Iriondo-DeHond, Amaia; Dolores del Castillo, María
• Is Part Of: Food control. Volume 136(2022)
• Publication Date: 2022-06
• Subjects: Adulteration -- Chemical indicators -- Geographical origin -- Green Coffea arabica -- Soluble compounds -- Volatiles; Food -- Quality -- Periodicals; Food -- Analysis -- Periodicals; Food handling -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Analyse -- Périodiques; Hygiène alimentaire -- Périodiques; Food -- Analysis; Food handling; Food -- Quality; Periodicals; Electronic journals; 664.07
• DOI: 10.1016/j.foodcont.2022.108869
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: Traceability of geographical origin is a challenging matter for producers and consumers. This research focuses on identifying green Coffea arabica from Africa, South and Central America using volatiles and aqueous-soluble chemical compounds for the first time. Using Linear Discriminant Analysis, we created two models. The first one focused on aqueous soluble compounds and their properties (pH, total antioxidant capacity, total polyphenolic content, caffeine, and chlorogenic acids) showed 91.30% accuracy of identification and, during cross-validation, predicted 82.61% correct identification. The 83.36% of the variability was explained with caffeine and TAC. The second focused on volatiles correctly identifying 100% of testing samples and predicted 86.96% accuracy in cross-validation. 91.17% of the variability between African, South, and Central American coffees was explained based on ketones, aldehydes, organic acids and esters, nitriles, alcohols, and alkenes, while ketones appeared as the strongest parameter among volatiles. Graphical abstract: Image 1 Highlights: Volatile compounds can authenticate geographical origin of green C. arabica. Aqueous soluble compounds can authenticate geographical origin of green C. arabica. Within solubles caffeine, and TAC explain most of the variability. Within volatiles, ketones appear to be the most robust parameter among volatiles.