The Application of UV-visible Spectroscopy and PLS-DA Method to Classify Indonesian Multifloral Honeys from Different Origins Diding Suhandy (a)*, Meinilwita Yulia (b)
a)Spectroscopy Research Group (SRG), Laboratory of Bioprocess and Postharvest Engineering, Department of Agricultural Engineering, Faculty of Agriculture, The University of Lampung, Jl. Prof. Dr. Soemantri Brojonegoro No.1, Bandar Lampung, 35145, Indonesia.
*diding.sughandy[at]fp.unila.ac.id
b)Department of Agricultural Technology, Lampung State Polytechnic, Jl. Soekarno Hatta No. 10, Rajabasa Bandar Lampung, 35141, Indonesia.
Abstract
The objective of this current research is to investigate the application of UV-visible spectroscopy and PLS-DA method to classify Indonesian multifloral honeys from different origins. Two multifloral honeys were used: multifloral honey from South Sumatera (MFS) and multifloral honey from Jambi (MFJ). Each origin consists of 100 samples of multifloral honey. UV-visible spectral data in the range of 190-1100 nm was acquired in transmittance mode using UV-Vis spectrometer. Spectral preprocessing methods were applied and principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) was calculated on preprocessed spectral data. The multifloral honey samples can be clustered into its origin properly. The best calibration model for origin determination was achieved using preprocessed spectra with high coefficient of determination (R2) and low standard error of calibration (SEC). This promising result is important step to establish an authentication of multifloral honey from Indonesia.
