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Rice Quality by Spectroscopic Analysis: Precision of Three Spectral Regions

September 2000 Volume 77 Number 5
Pages 669 — 672
F. E. Barton , II , 1 D. S. Himmelsbach , 1 A. M. McClung , 2 and E. T. Champagne 3

USDA-Agricultural Research Service, Richard B. Russell Agricultural Research Center, P.O. Box 5677, Athens, GA 30604. Names are necessary to report factually on available data; however, the USDA neither guarantees nor warrants the standard of the product, and the use of the name by the USDA implies no approval of the product to the exclusion of others that may also be suitable. USDA-Agricultural Research Service, Rice Research Unit, Beaumont, TX 77713. USDA-Agricultural Research Service, Southern Regional Research Center, New Orleans, LA 70179.


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Accepted June 19, 2000.
ABSTRACT

Three types of spectroscopy were used to examine rice quality: near infrared (NIR), Raman, and proton nuclear magnetic resonance (1H NMR). Samples from 96 rice cultivars were tested. Protein, amylose, transparency, alkali spreading values, whiteness, and degree of milling were measured by standard techniques and the values were regressed against NIR and Raman spectra data. The NMR spectra were used for a qualitative or semiquantitative assessment of the amylose/amylopectin ratio by determining the 1–4 to 1–6 ratio for glucans. Protein can be measured by almost any instrument in any configuration because of the strong relationship between the spectral response and the precision of the reference method. Amylose has an equally strong relationship to the vibrational spectra, but its determination by any reference method is far less precise, resulting in a 10× increase in the standard error of cross-validation (SECv) or standard error of performance (SEP) with R 2 values equal to that of the protein measurement.



This article is in the public domain and not copyrightable. It may be freely reprinted with customary crediting of the source. American Association of Cereal Chemists, Inc., 2000.