摘要：The aim of this study was to develop a feasible methodology for classification of Turkish honey samples using 1H NMR spectroscopy and multivar- iate statistical analysis methods using principal component analysis (PCA). In the first step, 39 honey samples classified as four different groups according to their pollen con- tents. Canola (n=3), chestnut honey (n=8), sunflow- er (11=7) and multifloral honey originated from Ardahan province (n=21). In the second step, the chemical composition of honey samples analyzed by ‘H NMR spectrosco- py at pH 2.5. When ‘H-NMR spectra interpreted, the differences between the honey samples could be easily distinguished. PCA and CVA (canonical variates analysis) showed that the chemical composition also give us exactly the same groups with minor differences regarding to the botanical origins.
