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ARS Home » Research » Publications at this Location » Publication #121006
Title: THE DETERMINATION OF RICE FLOUR PASTING PROPERTIES

Author
item Meadows, Frederick
item Himmelsbach, David

Submitted to: Workshop on Role of ARS in Meeting Research Needs of the Rice Industry
Publication Type: Abstract Only
Publication Acceptance Date: 2/21/2001
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Rice cooking and processing properties are important in the development of new rice lines and the assurance of product quality. These properties are governed by chemical and physical relationships in rice. Various methods exist for establishing these relationships including the rapid visco analyzer (RVA), but rapid noninvasive rheological techniques have been elusive. A study was undertaken to explore alternatives for rapidly and noninvasively determining rice functional properties. We have used near- infrared reflectance (NIR) spectroscopy in conjunction with RVA in order to establish relationships between rice composition and the pasting properties. Reflectance spectra (400 - 2500 nm) along with viscograms (0 - 736 s) were collected. Rice flour samples containing various concentrations of amylose (0.4 - 24.8 % w/w) and protein (7.0 - 11.4 % w/w) were used. The main rice flour component that affected pasting is amylose. .However, protein and other components influence the pasting properties. Our studies show that increases in amylose content increased the peak and final viscosities. Protein also seems to affect the viscosity intensities, but correlation between protein content and pasting is low. When the concentration of amylose was constant and the amount of protein increased with different rice samples, pasting temperature, peak time, peak viscosity, break down, holding strength, and setback increased. Similar viscosity enhancements were observed when the protein concentration was constant and the amylose content increased. A novel NIR-RVA correlation approach using two-dimensional correlation maps of RVA viscograms versus NIR spectra was implemented.