Abstract
Honey is one of the most studied foods due to its nutritional and medicinal properties. NMR can be used in food analysis for origin discrimination and biomarker identification using a metabolomic approach. In this study, we present an example of this strategy to discriminate honey samples from different botanical origins. The NMR spectra coupled with multivariate statistical analysis of 53 polyphenol-rich extracts prepared using adsorption resin XAD-4 of selected honey samples were analyzed to detect possible biomarkers of their floral origin. Principal component analysis was successfully applied for the discrimination among eucalyptus, orange and cambara honey samples.
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