Optical spectroscopy methods combined with multivariate statistical analysis for the classification of Cretan thyme, multi-floral and honeydew honey.

BACKGROUND The botanical origin of honey attracts both commercial and research interest. The consumers' preferences and the medicinal uses of particular honey types drive the demand for the determination of their authenticity with regards to their botanical origin. This study presents the discrimination of thyme, multi-floral and honeydew honeys by Fourier-Transform Infrared (FT-IR) and Ultraviolet (UV) Absorption spectroscopy combined with multivariate statistical analysis. The UV Absorption spectroscopy was applied without any dilution of the sample using a custom-made cuvette. FT-IR and UV Absorption spectroscopic data were processed by means of the Orthogonal Partial Least Square Discriminant analysis (OPLS-DA). RESULTS The optimal classification of floral and honeydew honeys was accomplished with UV spectroscopy with a successful estimation of 92,65% for floral honey and 91,30% for honeydew honey. The discrimination of thyme versus the multi-floral honey was best achieved with FT-IR, with a correct classification of 95,56% and 100% for multi-floral and thyme honey, respectively. Furthermore, our findings revealed the region of 2400-4000 cm-1 of the FT-IR spectra as the most significant for this discrimination. CONCLUSION This work demonstrates that optical spectroscopic techniques in combination with multivariate statistical analysis can be a rapid, low-cost, easy-to-use approach for the determination of the botanical origin of honey without sample pretreatment. This article is protected by copyright. All rights reserved.