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              This?study compared the capabilities of three spectroscopic techniques as fast screening platforms for honey?authentication purposes.?Multifloral honeys were collected in the three main honey-producing?regions of Argentina over four harvesting seasons to give a total of 502 samples. Spectra were run on each of the samples with?FT-MIR ( Fourier transform mid-infrared),?NIR (near infrared) and FT-Raman? (Fourier transform Raman)? spectroscopy.?The spectroscopic platforms were compared on the basis of?the classification performance achieved under a supervised chemometric approach.?Very good classification scores to distinguish the three Argentian regions were achieved by all the spectroscopies, and a nearly perfect classification was provided by FT-MIR.?The results obtained in the present work suggested that FT-MIR had the best?potential for fingerprinting-based honey authentication, and demonstrated that sufficient accuracy levels to be commercially useful can be reached.

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