Abstract
This study reports direct quantification of arabica in roasted and ground coffee blends of Coffea arabica and Coffea canephora var. robusta. 1H–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.
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