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Prediction of Caffeine Content in Java Preanger Coffee Beans by NIR Spectroscopy Using PLS and MLR Method
Abstract. Caffeine is one of important components in coffee that contributes to the coffee
beverages flavor. Caffeine concentration in coffee bean is usually determined by chemical
method which is time consuming and destructive method. A nondestructive method using NIR
spectroscopy was successfully applied to determine the caffeine concentration of Arabica gayo
coffee bean. In this study, NIR Spectroscopy was assessed to determine the caffeine
concentration of java preanger coffee bean. A hundred samples, each consist of 96 g coffee
beans were prepared for reflectance and chemical measurement. Reflectance of the sample was
measured by FT-NIR spectrometer in the wavelength of 1000-2500 nm (10000-4000 cm-1)
followed by determination of caffeine content using LCMS method. Calibration of NIR spectra
and the caffeine content was carried out using PLS and MLR methods. Several spectra data
processing was conducted to increase the accuracy of prediction. The result of the study
showed that caffeine content could be determined by PLS model using 7 factors and spectra
data processing of combination of the first derivative and MSC of spectra absorbance (r=
0.946; CV= 1.54 %; RPD= 2.28). A lower accuracy was obtained by MLR model consisted of
three caffeine and other four absorption wavelengths (r= 0.683; CV= 3.31%; RPD= 1.18)
Ketersediaan
| P02058S | My Library | Tersedia |
Informasi Detil
| Judul Seri |
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| No. Panggil |
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| Penerbit | : ., 2017 |
| Deskripsi Fisik |
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| Bahasa |
English
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| Klasifikasi |
NONE
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| Tipe Isi |
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| Tipe Media |
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| Tipe Pembawa |
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| Edisi |
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| Subyek |
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| Info Detil Spesifik |
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| Pernyataan Tanggungjawab |
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