Using UV-Visible spectroscopy coupled with linear discrimination analysis to discriminate between monofloral and multifloral honey from Indonesia

Abstract

In the market, two types of honey are available: monofloral and multifloral honeys. Monofloral honey has been regarded having higher market values than multifloral one. In order to protect a fraud trading between monofloral and multifloral honeys, it is very important to develop an analytical method which can be used to discriminate the two type of honeys. We utilized spectral data in the UV-visible region (250-450 nm) coupled with linear discrimination analysis (LDA) to classify monofloral and multifloral honeys from Indonesia. Total 400 samples of monofloral and multifloral honeys were used as samples. The spectral data were recorded using UV-vis spectrometer in the wavelength of 190-1100 nm with 1 nm of resolution. Several preprocessing methods was applied to improve the quality of spectral data. Principal component analysis (PCA) was calculated to map the samples and the PCA scores were used as input for classification task using linear discriminant analysis (LDA). The result suggested that UV-Visible spectroscopy is a powerful tool for quality evaluation of Indonesian honeys.