Diding, Suhandy and Meinilwita, Yulia and Sri, Waluyo and Cicih, Sugianti and Riri, Iriani and Fipit Novi, Handayani and Novi, Apratiwi (2016) THE POTENTIAL USE OF ULTRAVIOLET-VISIBLE SPECTROSCOPY AND SOFT INDEPENDENT MODELLING OF CLASS ANALOGIES (SIMCA) FOR CLASSIFICATION OF INDONESIAN PALM CIVET COFFEE (KOPI LUWAK). In: The USR International Seminar on Food Security (UISFS), August 23 - 24, 2016, Bandar Lampung, Indonesia.
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Abstract
In this study, the potential use of ultraviolet-visible (UV-Vis) spectroscopy and soft independent modelling of class analogies (SIMCA) for classification of Indonesian palm civet coffee (kopi luwak) was investigated. A number of 20 samples were used. The samples consisted of 10 samples of pure civet coffee without any adulteration (non-adulteration) and another 10 samples of mixture civet coffee adulterated with Arabica coffee (adulteration). All samples were extracted using distilled water and filtered. The spectral acquisition was performed with 10 mm of cuvette cell using a UV-Vis spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, USA) in the range of 200-450 nm. The result showed that using principal component analysis (PCA) of moving average smoothing spectra, a clear separation of nonadulteration and adulteration samples could be obtained. The SIMCA classification method showed that it is possible to classify and separate the samples into two different classes (nonadulteration and adulteration samples) with accuracy, sensitivity and specificity was more than 90%. This result will open a development of a quick and reliable method based on UVVis spectra for civet coffee authentication in near future. Keywords: UV-Vis spectroscopy, chemometrics, SIMCA, PCA, classification1.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Pertanian (FP) > Prodi Teknik Pertanian |
| Depositing User: | CICIH SUGI |
| Date Deposited: | 02 Jun 2017 06:54 |
| Last Modified: | 02 Jun 2017 06:54 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/2375 |
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