scholarly journals Determination of Maximum Viscosity of Milled Rice Flours Using Near-Infrared Transmittance Spectroscopy.

2001 ◽  
Vol 7 (2) ◽  
pp. 104-109 ◽  
Author(s):  
Naoto Shimizu ◽  
Takashi Yanagisawa ◽  
Hiroshi Okadome ◽  
Hidechika Toyoshima ◽  
Henrik Andren ◽  
...  
1999 ◽  
Vol 5 (4) ◽  
pp. 337-342 ◽  
Author(s):  
Naoto SHIMIZU ◽  
Jyunji KATSURA ◽  
Takashi YANAGISAWA ◽  
Shigeru INOUE ◽  
Robin P. WITHEY ◽  
...  

2002 ◽  
Vol 56 (5) ◽  
pp. 599-604 ◽  
Author(s):  
Young-Ah Woo ◽  
Yoko Terazawa ◽  
Jie Yu Chen ◽  
Chie Iyo ◽  
Fuminori Terada ◽  
...  

A new measurement unit, the MilkSpec-1, has been developed to determine rapidly and nondestructively the content of fat, lactose, and protein in raw milk using near-infrared transmittance spectroscopy. The spectral range over 700 to 1100 nm was used. This unit was designed for general glass test tubes, 12 mm in diameter and 10 mL in volume. Al2O3 with a thickness of 2.5 mm was found to be optimum as a reference for acquiring the milk spectrum for this measurement. The NIR transmittance spectra of milk were acquired from raw milk samples without homogenization. The calibration model was developed and predicted by using a partial least-squares (PLS) algorithm. In order to reduce the scattering effect due to fat globules and casein micelles in NIR transmittance spectra, multiplicative scatter correction (MSC) and/or second derivative treatment were performed. MSC treatment proved to be useful for the development of calibration models for fat and protein. This study resulted in low standard errors of prediction (SEP), with 0.06, 0.10, and 0.10% for fat, lactose, and protein, respectively. It is shown that accurate, rapid, and nondestructive determination of milk composition could be successfully performed by using the MilkSpec-1, presenting the potential use of this method for real-time on-line monitoring in a milking process.


1993 ◽  
Vol 1 (1) ◽  
pp. 25-32 ◽  
Author(s):  
P. C. Williams ◽  
D.C. Sobering

Near infrared transmittance and reflectance instruments were compared for the determination of protein, oil, moisture and some other constituents and parameters in several grains and seeds of commerce. Both approaches were comparable in accuracy and reproducibility. The importance of optimisation of the wavelength range in whole grain analysis is demonstrated for measurements in both the NIR and visible/NlR wavelength ranges. The RPD statistic, which relates the standard error of prediction to the standard deviation of the original data, is illustrated as a method for the evaluation of calibrations. The concept of monitoring the accuracy of analysis using whole grain calibrations with ground grain calibrations is introduced.


2008 ◽  
Vol 62 (7) ◽  
pp. 784-790 ◽  
Author(s):  
Xuxin Lai ◽  
Yiwu Zheng ◽  
Susanne Jacobsen ◽  
Jørgen N. Larsen ◽  
Henrik Ipsen ◽  
...  

Author(s):  
Liu Hexiao ◽  
Sun Laijun ◽  
Liu Mingliang ◽  
Qian Haibo ◽  
Xululu ◽  
...  

1995 ◽  
Vol 3 (4) ◽  
pp. 227-237 ◽  
Author(s):  
Kumi Miyamoto ◽  
Yoshinobu Kitano

Using many samples of satsuma mandarins collected at random in packing houses, a method of establishing stable calibration equations to determine sugar content in the fruit by near infrared (NIR) transmittance spectroscopy was investigated. High accuracy in the determination of sugar content in the fruit could be obtained by multiple linear regression (MLR) using second derivative (D2) spectra in the 710–930 nm region. As a minimum, the four wavelengths mentioned below were needed as the predictor variables of the MLR equation. The D2 spectral change in the region of 900–910 nm was due to sugars (sucrose, glucose and fructose). A wavelength range of 880–890 nm and a wavelength range of 900–910 nm were selected as the best pair. A wavelength range of 740–755 nm region or 840–855 nm region compensated for the different optical pathlength of each fruit. One of the wavelengths around 794 nm or 835 nm was needed to compensate for the influence of fruit temperature. The influence of various factors such as fruit variety, growing location, harvest season and production year were investigated when the calibration was developed. When calibration samples had sufficient variation in fruit quality, it was possible to obtain a stable equation for all variations.


2012 ◽  
Vol 109 (1) ◽  
pp. 114-119 ◽  
Author(s):  
Anupun Terdwongworakul ◽  
Natrapee Nakawajana ◽  
Sontisuk Teerachaichayut ◽  
Athit Janhiran

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