Discrimination of several Indonesian specialty coffees using Fluorescence Spectroscopy combined with SIMCA method

3rd International Conference on Chemical Engineering Sciences and Applications 2017

Suhandy, D.^1 ; Yulia, M.^2

Department of Agricultural Engineering, Faculty of Agriculture, University of Lampung, Jl. Prof. Dr. Soemantri Brojonegoro No.1, Bandar Lampung

35145, Indonesia^1

Department of Agricultural Technology, Lampung State Polytechnic, Jl. Soekarno Hatta No. 10, Rajabasa Bandar Lampung, Indonesia^2

关键词: Coffee powders;    Discrimination model;    Distilled water;    Economic values;    Excitation emission matrices;    Fluorescence spectrometers;    Indonesian languages;    Sensitivity and specificity;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/334/1/012059/pdf
DOI  :  10.1088/1757-899X/334/1/012059

来源: IOP

【 摘 要 】

Indonesia is one of the important producers of several specialty coffees, which have a particularly high economic value, including Civet coffee ('kopi luwak' in Indonesian language) and Peaberry coffee ('kopi lanang' in Indonesian language). The production of Civet and Peaberry coffee is very limited. In order to provide authentication of Civet and Peaberry coffee and protect consumers from adulteration, a robust and easy method for evaluating ground Civet and Peaberry coffee and detection of its adulteration is needed. In this study, we investigate the use of fluorescence spectroscopy combined with SIMCA (soft independent modelling of class analogies) method to discriminate three Indonesian specialty coffee: ground Peaberry, Civet and Pagar Alam coffee. Total 90 samples were used (30 samples for Civet, Peaberry and Pagar Alam coffee, respectively). All coffee samples were ground using a home-coffee-grinder. Since particle size in coffee powder has a significant influence on the spectra obtained, we sieved all coffee samples through a nest of U. S. standard sieves (mesh number of 40) on a Meinzer II sieve shaker for 10 minutes to obtain a particle size of 420 μm. The experiments were performed at room temperature (around 27-29°C). All samples were extracted with distilled water and then filtered. For each samples, 3 mL of extracted sample then was pipetted into 10 mm cuvettes for spectral data acquisition. The EEM (excitation-emission matrix) spectral data of coffee samples were acquired using JASCO FP-8300 Fluorescence Spectrometer. The principal component analysis (PCA) result shows that it is possible to discriminate types of coffee based on information from EEM (excitation-emission matrix) spectral data. Using SIMCA method, the discrimination model of Indonesian specialty coffee was successfully developed and resulted in high performance of discrimination with 100% of sensitivity and specificity for Peaberry, Civet and Pagar Alam coffee. This research has opened the possibility to develop a promising method to detect and evaluate authentication of Indonesian specialty coffees using fluorescence spectroscopy.