Suhandy, Diding (2018) Chemometric quantification of peaberry coffee in blends using UV–visible spectroscopy and partial least squares regression. In: THE 8TH ANNUAL BASIC SCIENCE INTERNATIONAL CONFERENCE, 6–7 March 2018, Malang, Indonesia.
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Abstract
The aim of the present study is to quantify peaberry coffee in blends using UV–visible spectroscopy and partial least squares (PLS) regression. A total of 210 ground roasted peaberry coffee in blends (pure and adulterated with degree of adulteration 0%–90%) were used as samples. After the extraction process, spectral data of 3 mL aqueous samples was acquired using a UV–visible spectrometer in the range of 190–1100 nm (Genesys 10s, Thermo Scientific, USA). The PLS regression was used to quantify the peaberry content in blends (peaberry-to-normal blends). The best PLS model was achieved using Savitzky-–Golay first derivative spectra in the interval of 190–450 nm with low root mean square error of calibration (RMSEC = 1.165430%) and high determination coefficient (R2 = 0.99). The calibration model also had high a RPD, 11.88. This analytical method is simple, easy to use, of low cost, and has excellent sensitivity.
| 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: | 16 Nov 2018 17:32 |
| Last Modified: | 16 Nov 2018 17:32 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/10083 |
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