The Feasibility of Geographical Origin Discrimination of Lampung Robusta Coffee Using UV-Visible Spectroscopy and Chemometric Methods

International Conference on Science, Infrastructure Technology and Regional Development

自然科学（总论）

Yulia, M.^1^3 ; Suhandy, D.^2^3

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

35141, Indonesia^1

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

35145, Indonesia^2

Spectroscopy Research Group (SRG), Laboratory of Bioprocess and Postharvest Engineering, Faculty of Agriculture, University of Lampung, Bandar Lampung, Lampung, Indonesia^3

关键词: Analytical method;    Chemometric method;    Coefficient of determination;    Geographical origins;    Partial least squares discriminant analyses (PLSDA);    Root mean square error of calibrations;    UV visible spectroscopy;    UV-visible spectrometers;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/258/1/012044/pdf
DOI  :  10.1088/1755-1315/258/1/012044

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

In this study, UV-visible spectroscopy and partial least squares-discriminant analysis (PLS-DA) method was used to discriminate the origin of Lampung robusta coffee. Total 40 Lampung robusta coffee samples with two origins (Lampung Barat and Tanggamus) were used. Each samples has 1 gram weight and was extracted using hot distilled water. UV-visible spectral data of the all aqueous coffee samples were obtained using a UV-visible spectrometer in transmittance mode in the range of 190-1100 nm. The performance of the developed PLS-DA model was evaluated based on coefficient of determination (R2), root mean square error of calibration (RMSEC), and residual prediction to deviation (RPD). Using Savitzky-Golay 1st derivative and moving average spectra, PLS-DA model was developed with the following results: R2 = 0.97 for calibration and R2 = 0.88 for validation, RMSEC = 0.089421 and RMSECV=0.178384. The performance of prediction was quite good with RMSEP = 0.215303 and RPD = 2.83. This results show that UV-visible spectroscopy and PLS-DA method is a promising analytical method to discriminate geographical origin of Lampung robusta coffee.