Pasting properties by near-infrared reflectance analysis of whole grain paddy rice samples

A rapid predictive method based on near-infrared reflectance spectroscopy (NIRS) of paddy rice was developed to measure the pasting properties of rice. The paddy rice samples were scanned by a near-infrared reflectance spectrometer in the wavelength region of 1400–2400 nm and preprocessed by mathema...

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Published inJournal of innovative optical health science Vol. 8; no. 6; pp. 1550035 - 1550035-8
Main Authors Siriphollakul, Pornarree, Kanlayanarat, Sirichai, Rittiron, Ronnarit, Wanitchang, Jaitip, Suwonsichon, Thongchai, Boonyaritthongchai, Panida, Nakano, Kazuhiro
Format Journal Article
LanguageEnglish
Published The Author(s) 01.11.2015
World Scientific Publishing
Subjects
near-infrared spectroscopy
paddy rice
Pasting properties
near-infrared spectroscopy
paddy rice
Pasting properties
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Summary:A rapid predictive method based on near-infrared reflectance spectroscopy (NIRS) of paddy rice was developed to measure the pasting properties of rice. The paddy rice samples were scanned by a near-infrared reflectance spectrometer in the wavelength region of 1400–2400 nm and preprocessed by mathematical pretreatments prior to pasting properties analysis using a rapid visco-analyzer (RVA). The results indicated that the developed models of setback (SB), peak viscosity (PV), breakdown (BD) and consistency (CS) provided good prediction results with relatively high correlation coefficients (0.81–0.96). In addition, the validity of the calibration models was statistically tested. Standard error of prediction (SEP) and bias were small enough without any significance at 95% confidence interval. Nonetheless, this study proved that the use of NIRS for predicting pasting properties was feasible in paddy rice and could be applied in commercial trade and research.
Bibliography:This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 3.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited.
ISSN:1793-5458
1793-7205
DOI:10.1142/S1793545815500352