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United States Department of Agriculture

Agricultural Research Service

Research Project: THE ADVANCEMENT OF SPECTROSCOPIC SENSORS/CHEMOMETRIC ANALYSIS/BIOBASED PRODUCTS FOR QUALITY ASSESSMENT OF FIBER, GRAIN, AND FOOD COMMODITIES

Location: Quality and Safety Assessment Research Unit

Title: PREDICTION OF SDS SEDIMENTATION VOLUMES FOR WHEAT VIA FT-NIR AND FT-RAMAN SPECTROSCOPY

Authors
item Himmelsbach, David
item DE Haseth, James
item Delwiche, Stephen

Submitted to: United States-Japan Cooperative Program in Natural Resources
Publication Type: Proceedings
Publication Acceptance Date: September 1, 2005
Publication Date: October 15, 2005
Citation: Himmelsbach, D.S., De Haseth, J.A., Delwiche, S.R. 2005. Prediction of SDS sedimentation volumes for wheat via FT-NIR and FT-Raman spectroscopy. Proceedings of the United States-Japan Cooperative Program in Natural Resources Food and Agriculture Panel. 34th Annual Meeting, Susono, Shizzoka, Japan. pp. 74-77.

Interpretive Summary: There is a need to replace wet chemical methods with instrumental based methods for speed, economic and environmental benefits. The sodium-dodecyl sulphate (SDS) sedimentation volume method that has been used to the wheat protein quality could be replaced by an instrumentally based method. SDS sedimentation volumes have been successfully predicted by a low-resolution a near-infrared (NIR) spectral method. However, more accuracy is desired for this prediction of this parameter. The high-resolution versions of NIR and Raman techniques have been shown to provide greater accuracy for the prediction of SDS volumes. Methods developed around both of these techniques have been shown to be suitable approaches.

Technical Abstract: Preliminary results for the prediction of SDS sedimentation volumes for wheat, using high-resolution (4 cm-1) FT-NIR and FT-Raman spectroscopy, indicated that higher resolution spectroscopy produced improved calibrations. High-resolution spectra appear to be more sensitive to the prediction of wheat quality by requiring fewer factors for chemometric models and achieving lower cross-validation errors. Both spectroscopic methods show similar results with FT-Raman having a slight advantage (2.01 versus 2.15 RMSE and 3 versus 4 factors). Both methods would be suitable to screen wheat for quality.

Last Modified: 9/2/2014
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