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Title: UNIVERSAL CALIBRATION METHOD FOR MICROWAVE MOISTURE SENSING IN GRANULAR MATERIALS

Author
item TRABELSI, SAMIR - UNIVERSITY OF GEORGIA
item KRASZEWSKI, ANDRZEJ
item NELSON, STUART

Submitted to: ASAE Annual International Meeting
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/20/2000
Publication Date: N/A
Citation: N/A

Interpretive Summary: Three types of spectroscopy were used to examine rice quality, Near infrared (NIR), Raman, and proton Nuclear Magnetic Resonance (**1H NMR). A total of 96 rice cultivars comprised the 96 samples tested. Protein, amylose, transparency, alkali spreading values, whiteness and milling degree were measured by standard techniques and the values regressed against NIR and Raman spectra data. The NMR spectra were used for a qualitative/semi-quantitative assessment of the amylose, amylo-pectin 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, thus an increase in the SECv or SEP of almost an order of magnitude with R**2's equal to that of the protein measurement.

Technical Abstract: Samples of dew-retted and water-retted flax were evaluated by chemical and mass spectral analyses to determine the chemical differences effected by the method of retting. Phenolics, waxes, cutin, and carbohydrates were determined by gas liquid chromatography. Water-retted samples contained more residual wax and lower arabinose content than the dew-retted and were finer and stronger. Statistical analysis of the pyrolysis mass spectrometric data differentiated water- and dew-retted samples. Principal component analysis of the chemical data including both strength and fineness measurements produced a grouping of the water-retted samples distinct from dew-retted samples. Principal component analysis of the mass spectral date produced the same grouping based mass markers characteristic of the chemical components that produced the initial grouping with fineness and strength measurements.