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• W2321812848 abstract "Adulteration of onion powder with cornstarch was identified by Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopy. The reflectance spectra of 180 pure and adulterated samples (1–35 wt % starch) were collected and preprocessed to generate calibration and prediction sets. A multivariate calibration model of partial least-squares regression (PLSR) was executed on the pretreated spectra to predict the presence of starch. The PLSR model predicted adulteration with an Rp2 of 0.98 and a standard error of prediction (SEP) of 1.18% for the FT-NIR data and an Rp2 of 0.90 and SEP of 3.12% for the FT-IR data. Thus, the FT-NIR data were of greater predictive value than the FT-IR data. Principal component analysis on the preprocessed data identified the onion powder in terms of added starch. The first three principal component loadings and β coefficients of the PLSR model revealed starch-related absorption. These methods can be applied to rapidly detect adulteration in other spices." @default.
• W2321812848 created "2016-06-24" @default.
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• W2321812848 date "2014-09-12" @default.
• W2321812848 modified "2023-10-07" @default.
• W2321812848 title "Detection of Starch Adulteration in Onion Powder by FT-NIR and FT-IR Spectroscopy" @default.
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• W2321812848 doi "https://doi.org/10.1021/jf500574m" @default.
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• W2321812848 hasPublicationYear "2014" @default.
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