Suhandy, Diding and Yulia, Meinilwita (2019) The authentication of peaberry and civet ground roasted robusta coffee using UV-visible spectroscopy and PLS-DA method with two different particle sizes. In: International Conference on Science, Technology, Infrastructure and Regional Development (ICoSITeR), 19-20 Oktober 2018, ITERA (Institut Teknologi Sumatera).

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Suhandy_2019_IOP_Conf._Ser.__Earth_Environ._Sci._258_012043 (the authentication of peaberry).pdf

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Official URL: https://iopscience.iop.org/article/10.1088/1755-13...

Abstract

The objective of this research was to investigate the influence of particle size of ground roasted coffee samples in the authentication of peaberry and civet coffee using UVvisible spectroscopy combined with partial least squares-discriminant analysis (PLS-DA) method. For this purpose, we provide a total of 80 samples of peaberry and civet coffee with two different particle size of 1680 micrometer (mesh 12) and 297 micrometer (mesh 50). The all coffee samples were extracted using hot distilled water (90-98ºC). UV-visible spectral data of the all coffee samples were acquired using a UV-visible spectrometer in transmittance mode. The result showed that the different absorbance spectra were observed for the different particle sizes of peaberry and civet coffee samples. The absorbance of samples having particle size of 297 micrometer (mesh 50) is higher than that of particle size of 1680 micrometer (mesh 12). The calibration model was developed using PLS-DA method for samples having same particle size and resulted in acceptable result with high coefficient of determination (R2) (R2=0.99 both for mesh 12 and 50, respectively), low root mean square error of calibration (RMSEC), and high residual prediction deviation (RPD). However, the performance of the prediction results was very low for samples having different particle size with high bias and high root mean square error of prediction (RMSEP).

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: 23 May 2019 07:18
Last Modified: 23 May 2019 07:18
URI: http://repository.lppm.unila.ac.id/id/eprint/13095

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