Abstract

To assess rice grain quality, various types of analyses of the physicochemical properties of rice must be conducted.Although several methods exist, different properties require specific instruments and chemicals, and most of them aretime-consuming. The authors have therefore developed calibration models for determining multiple physicochemicalproperties of rice using a single instrument, a visible and near-infrared (VIS/NIR) reflectance spectrometer. These modelswere used to measure the physicochemical properties of 61 samples of Japanese short-grain, non-waxy rice. The results ofpartial least squares (PLS) regression modeling with full cross-validation methods indicated that reasonably accurate models(correlation coefficient [r] of the validation greater than 0.8) could be obtained for moisture content, sound whole kernel,and appearance (whiteness, translucency, and color) of brown rice, and for moisture content, appearance, and amylogramcharacteristics (maximum viscosity and breakdown) of milled rice. The level of accuracy was sufficient for classifying ricesamples into qualitative groups. Thus, the results demonstrate that VIS/NIR spectroscopy can be used to determine thephysicochemical properties of rice and assess its quality.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call