title: Quantification of Coffea arabica and Coffea canephora var. robusta in roasted and ground coffee blends.
abstract: This study reports direct quantification of arabica in roasted and ground coffee blends of Coffea arabica and Coffea canephora var. robusta. (1)H-NMR analysis of water extracts of coffee blends were combined with multivariate statistical analysis to obtain an OPLS model with high predictive capability. This approach allowed to evaluate the composition of coffee blends of unknown arabica and robusta content, on the basis of multiple chemical components. Differences in geographical origin of the analyzed samples did not affected the compositional determination of coffee blends. This approach represents a valid tool in authentication procedures of arabica and robusta blends of roasted and ground coffee.
authors.affiliation: National Council of Research, Institute for the Study of Macromolecules, NMR laboratory, v. Bassini 15, 20133 Milan, Italy.
authors.forename: Laura Ruth
authors.initials: LR
authors.lastname: Cagliani
authors.forename: Gloria
authors.initials: G
authors.lastname: Pellegrino
authors.forename: Graziella
authors.initials: G
authors.lastname: Giugno
authors.forename: Roberto
authors.initials: R
authors.lastname: Consonni
mesh_terms: D040503:Coffea / Q000737:chemistry* / Q000145:classification; D003069:Coffee / Q000737:chemistry* / Q000145:classification; D005504:Food Analysis / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D012044:Regression Analysis; D012639:Seeds / Q000737:chemistry* / Q000145:classification; D014867:Water
chemical_list: D003069:Coffee; D014867:Water