2006
DOI: 10.13031/2013.21712
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Visible and Near-Infrared Reflectance Spectroscopy for Determining Physicochemical Properties of Rice

Abstract: ear-infrared (NIR) spectroscopy has been used for highly accurate measurement of the chemical composition of rice grain, including such constituents as moisture, protein, and amylose (Iwamoto et al., 1986;Natsuga et al., 1992;Villareal et al., 1994;Delwiche et al., 1995;Delwiche et al., 1996;Kawamura et al., 1997a;Sohn et al., 2004). However, to assess rice grain quality, in addition to chemical composition, various physicochemical properties of the rice must be analyzed. Several studies were previously carrie… Show more

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Cited by 35 publications
(36 citation statements)
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“…NIRS has already been used for determining physicochemical properties of rice [1] and has been put to practical use in automatic rice-quality inspection systems in Japan [2]. NIRS has also been used to assess milk quality [3][4][5][6][7], but the milk quality was measured by using an NIR instrument set in a laboratory room.…”
Section: Introductionmentioning
confidence: 99%
“…NIRS has already been used for determining physicochemical properties of rice [1] and has been put to practical use in automatic rice-quality inspection systems in Japan [2]. NIRS has also been used to assess milk quality [3][4][5][6][7], but the milk quality was measured by using an NIR instrument set in a laboratory room.…”
Section: Introductionmentioning
confidence: 99%
“…There are two types of decomposition technique; PCA and Singular Value Decomposition (SVD), which is used to reduce the dimensionality of a large data set or spectrum data into a smaller number of variables called principal components (PCs) scores [18] . PCA has a close connection with SVD from numerical linear algebra, but in this study, we used SVD because it is a well-established, stable and numerically accurate technique [23].…”
Section: E Calibration and Validationmentioning
confidence: 99%
“…The utilization of whole grains is often required to analyze physical properties, and sample size can range from 5 to 100 g; furthermore, replicate scans (32-128 scans) are often required. Natsuga and Kawamura 21 investigated the generation of chemometric models for predicting physicochemical properties of whole-grain brown and milled rice by separating the VIS/NIR region into three wavelength ranges: VIS (400-797 nm), NIR1 (800-1098 nm), and NIR2 (1100-2498 nm) to determine which range or combination of ranges were best for estimating which properties. Their results indicated that for brown rice the VIS range was best for predicting whiteness (L * ), color (C), and water uptake ratio.…”
Section: Physical Propertiesmentioning
confidence: 99%