An Overview of Research and Development of near Infrared Spectroscopy in Japan

Iwamoto, Mutsuo; Ozaki, Yukihiro

doi:10.1255/jnirs.68

Cited by 29 publications

(17 citation statements)

References 28 publications

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“…The correlation coefficients (rs) between the predicted and the reference data were 0.93, 0.90 and 0.84 for the contents of moisture, protein and starch, respectively. Moreover, when bias and skew were checked by the Student's t-test for the MREs, those |t| s were less than 2 (17). This finding suggests that the established MREs can be used for the determination of moisture, protein and starch in buckwheat flours.…”

Section: Resultsmentioning

confidence: 91%

Near-Infrared Diffuse Reflectance Spectroscopic Analysis of the Amounts of Moisture, Protein, Starch, Amylose, and Tannin in Buckwheat Flours.

Hong

Ikeda

Kreft³

et al. 1996

Journal of Nutritional Science and Vitaminology, J Nutr Sci Vit

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SummaryThe feasibility of near-infrared (NIR) diffuse reflectance spectroscopy scanning from 1100 to 2500nm in the analyses of the amounts of moisture, protein, starch, amylose, and tannin in buckwheat flours was examined. Fifty ground samples comprised of 27 different cultivars harvested in 12 different countries were divided into two sets: 35 samples as a calibration set and 15 samples as a prediction set. The multiple regression equations (MREs) established between the second derivative NIR spectra data and the reference data, which were obtained by chemical analyses of the calibration set, gave multiple correlation coefficients of higher than 0.93 for moisture, protein, and starch, and workable standard error of predictions (SEPs) in relation to the reference standard deviation data. In contrast, the MREs for amylose and tannin were judged as unstable because the SEPs had no difference with their reference standard deviation data. The influential wavelengths were 1925 nm for water (assigned to the combination of the stretching and bending vibrations of hydroxyl [OH]), 2057nm for protein (assigned to the combination of NH and amide II or III), and 2100nm for starch (assigned to the combination of OH and CO). The obtained results indicated that the NIR procedure can be used as a nondestructive analysis method for rapid and simple measurement of the amounts of moisture, protein, and starch in buckwheat flours.

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Section: Resultsmentioning

confidence: 91%

Near-Infrared Diffuse Reflectance Spectroscopic Analysis of the Amounts of Moisture, Protein, Starch, Amylose, and Tannin in Buckwheat Flours.

Hong

Ikeda

Kreft³

et al. 1996

Journal of Nutritional Science and Vitaminology, J Nutr Sci Vit

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“…Nowadays, nondestructive techniques for quality evaluation have gained in popularity (Iwamoto, Kawano, & Ozaki, 1995;Jha & Matsuoka, 2000. These techniques, particularly for fruits and vegetables, are quick and easy to use.…”

Section: Introductionmentioning

confidence: 99%

Modeling of color values for nondestructive evaluation of maturity of mango

Jha

Chopra

Kingsly

2007

Journal of Food Engineering

103

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“…When these conditions were met, however, rice scorching occurred during measurement. Other difficulties were encountered using the transmittance mode, including the need for a completely darkened cell chamber 9 , and it was concluded that transmittance spectroscopy would pose numerous constraints and thus would not be suitable for the envisioned combine-mounted device.…”

Section: Study Of Spectroscopic Modesmentioning

confidence: 99%

Near-Infrared Spectrometer for a Head-Feeding Combine for Measuring Rice Protein Content

Hidaka

Kurihara

Hayashi

et al. 2011

JARQ

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We have developed a near-infrared (NIR) spectrometer mountable on a head-feeding combine for measuring rice protein in real time while harvesting. The developed sensor employs reflectance optics instead of the more usual transmittance optics because (1) it operates under severe vibration and dust conditions; (2) it performs measurements in high moisture contents, low fluidity of rough rice; and (3) because of low light transmittance due to absorption by husks. The light source was a tungsten halogen lamp, with a diffusion cylinder installed so that uniform light would illuminate the sample. An Si-CCD measured the spectrum from 740 nm to 1140 nm with a post-dispersive grating. We made a calibration curve of brown rice protein from a spectrum of rough rice examined in a laboratory. The calibration curve accuracy was r= 0.87 and SECV (Standard Error of Cross-Validation) =0.47%. In the adopted measurement method, the sensor loaded the rough rice into a wide sample chamber by gravity and analyzed the loaded grain at the bottom using a reflected signal. The developed sensor was able to measure the protein content of brown rice from spectra of rough rice taken under severe conditions, e.g., a high-vibration, high-dust harvesting environment. In addition to the protein content, the rice weight and moisture content could be displayed on the monitoring terminal in real time. The accuracy of the protein content measurements in these field examinations was r=0.65 and SEP (Standard Error of Prediction) =0.22%. The SEP was far better than the SECV of the calibration, but the protein content fell in a narrow range in the field examination. Thus, we concluded that the actual accuracy was the same as the calibration.

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An Overview of Research and Development of near Infrared Spectroscopy in Japan

Cited by 29 publications

References 28 publications

Near-Infrared Diffuse Reflectance Spectroscopic Analysis of the Amounts of Moisture, Protein, Starch, Amylose, and Tannin in Buckwheat Flours.

Near-Infrared Diffuse Reflectance Spectroscopic Analysis of the Amounts of Moisture, Protein, Starch, Amylose, and Tannin in Buckwheat Flours.

Modeling of color values for nondestructive evaluation of maturity of mango

Near-Infrared Spectrometer for a Head-Feeding Combine for Measuring Rice Protein Content

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