VIS SPECTROSCOPY-BASED CHEMOMETRIC ANALYSIS OF HONEY WITH RESPECT TO DISCRIMINATION OF ITS BOTANICAL ORIGIN.

The aim of the article is to investigate the potential of honey discrimination (on the base of its botanical origins) by Vis spectroscopy and chemometric analysis. Fifty-five samples from three types of honey (acacia, linden, and honeydew) are measured by a spectrophotometer "Helios Omega" with recorded wavelength range of 380~780 nm for calibration of honey classifier. Firstly, principal components analysis (PCA) is used for reducing the number of inputs and for a proper visualization of the experimental results. Next, the first two principal components (PCs) are combined separately with k-means clustering (KMC), Naïve Bayes classification (NBC), and linear and quadratic discriminant analysis (LDA, QDA) to develop PC-KMC, PC-NBC, PC-LDA and PC-QDA models, respectively. The comparative analysis of the four classifiers is based on leave-one-out-cross validation test carried out in MATLAB environment. [ABSTRACT FROM AUTHOR]