Abstract

This work evaluate fast and accurate analytical method model developed for the authentication of honey adulteration by sugar-feeding syrup using UV-VIS (Ultraviolet-visible) spectroscopy in absorbance mode together with chemometric techniques of principal component analysis (PCA) and canonical discrimination analysis, thirty-five honey samples from three types of honey (18 samples of clover honey,14 samples of citrus honey and 3 samples of sugar-feeding honey samples), were measured by a spectrophotometer with recorded wavelength range from 200 to 900 nm, in two different extract solution (water and ethanol), the method of PCA was used to lower the number of inputs (wavelengths), then, the principal components were used with canonical discrimination analysis on the following wavelength ranges individually: UV (200-400nm), VIS (400-900nm) and UV-VIS (200-900nm) for water and ethanolic extract honey samples. The results of the experiment clearly support for the UV-VIS spectral wavelengths with Chemometrics Analysis can be reduced at large spacing interval, which allows easing data analysis as well as developing a simpler and cheaper sensor for honey discrimination in practice. PCA and canonical discrimination were successfully able to present a preliminary clustering pattern to segregate the feeding sugar syrup honey samples from the clover and citrus honey sample in UV and UV-VIS region spectroscopy by water extract.