The Measurement of Luwak Content in Coffee Blends Using UV-Visible Spectroscopy Combined with Support Vector Machine Regression (SVMR)

International Conference on Science, Infrastructure Technology and Regional Development

自然科学（总论）

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

Department of Agricultural Engineering, University of Lampung, Indonesia^1

Department of Agricultural Technology, Lampung State Polytechnic, 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: Calibration model;    Coefficient of determination;    Root mean square error of calibrations;    Spectral data;    Support vector machine regressions;    UV visible spectroscopy;    UV-vis spectrometer;    UV-vis spectroscopy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/258/1/012029/pdf
DOI  :  10.1088/1755-1315/258/1/012029

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

In this study, an investigation of using UV-Vis spectroscopy combined with support vector machine regression (SVMR) was evaluated for luwak coffee authentication. For this purpose, we provide 98 samples of coffee blends (mixed of luwak and non-luwak coffee). The range of luwak content in coffee blends was 50-100%. UV-Vis spectral data of the all samples were acquired using a UV-Vis spectrometer in transmittance mode. The coefficient of determination (R2), root mean square error of calibration (RMSEC), and residual prediction deviation (RPD) were used to evaluate the accuracy of the developed SVMR calibration model. The results show that UV-Vis spectroscopy combined with SVMR method was a promising method to quantify luwak content in coffee blends with high R2 and low RMSEC. The RPD value of more than three was also obtained.