Lekova S.Tsankova D.2024-07-162024-07-162024-07-162024-07-162017-01-011314-79781314-7471SCOPUS_ID:85054707695https://rlib.uctm.edu/handle/123456789/1231The aim the investigation reported is to determine the potential of determining the botanical origin of honey by a combination of middle infrared spectroscopy, colorimetry and chemometric analysis. Forty-three samples from three types of honey (acacia, linden, and honeydew) are subjected to Fourier transform mid-infrared (Mid-FTIR) spectroscopy. Transmittance spectra with wave numbers from 600 cm-1 to 4000 cm-1 are recorded. The latter are combined with some colorimetric parameters (CIELab) for training data of a linear discriminant analysis (LDA) based calibration model. Principal components analysis (PCA) is used to reduce the number of inputs (wave numbers and colour parameters) and get a proper visualization of the experimental results. The high accuracy of the proposed honey classifier is confirmed by a leave-one-out-cross validation test carried out in MATLAB environment.enArticle