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- W2896780475 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." @default.
- W2896780475 created "2018-10-26" @default.
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- W2896780475 date "2018-01-01" @default.
- W2896780475 modified "2023-10-11" @default.
- W2896780475 title "Chemometric quantification of peaberry coffee in blends using UV–visible spectroscopy and partial least squares regression" @default.
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- W2896780475 doi "https://doi.org/10.1063/1.5062774" @default.
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