Yulia, Meinilwita and Suhandy, Diding (2017) Indonesian palm civet coffee discrimination using UV-visible spectroscopy and several chemometrics methods. In: International Symposium on Bioinformatics, Chemometrics and Metabolomics 18 October 2016, Bogor, Indonesia, 18 October 2016, Bogor, Indonesia.


Download (373kB) | Preview
Official URL: http://iopscience.iop.org/article/10.1088/1742-659...


Indonesian palm civet coffee or kopi luwak (Indonesian words for coffee and palm civet) is well known as the world’s priciest and rarest coffee. To protect the authenticity of luwak coffee and protect consumer from luwak coffee adulteration, it is very important to develop a simple and inexpensive method to discriminate between civet and non-civet coffee. The discrimination between civet and non-civet coffee in ground roasted (powder) samples is very challenging since it is very difficult to distinguish between the two by using conventional method. In this research, the use of UV-Visible spectra combined with two chemometric methods, SIMCA and PLS-DA, was evaluated to discriminate civet and non-civet ground coffee samples. The spectral data of civet and non-civet coffee were acquired using UV-Vis spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA). The result shows that using both supervised discrimination methods: SIMCA and PLS-DA, all samples were correctly classified into their corresponding classes with 100% rate for accuracy, sensitivity and specificity, respectively.

Item Type: Conference or Workshop Item (Paper)
Subjects: S Agriculture > S Agriculture (General)
Divisions: Fakultas Pertanian (FP) > Prodi Teknik Pertanian
Depositing User: Dr. Diding Suhandy
Date Deposited: 29 May 2017 05:34
Last Modified: 29 May 2017 05:38
URI: http://repository.lppm.unila.ac.id/id/eprint/1769

Actions (login required)

View Item View Item