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Title: FT-NIR/RAMAN SPECTROSCOPY AND NIR SPECTROSCOPY FOR NUTRITIONAL CLASSIFICATION OF CEREAL FOODS.

Author
item Sohn, Mi Ryeong
item Kays, Sandra
item Himmelsbach, David
item Barton Ii, Franklin

Submitted to: Near Infrared Spectroscopy International Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 10/27/2004
Publication Date: 4/9/2005
Citation: Sohn, M., Kays, S.E., Himmelsbach, D.S., Barton II, F.E. 2005. Ft-NIR/Raman spectroscopy and NIR spectroscopy for nutritional classification of cereal foods [abstract]. The 12th International Conference on Near Infrared Spectroscopy. p. 76.

Interpretive Summary:

Technical Abstract: Fourier transform near infrared Raman spectroscopy and near-infrared spectroscopy were investigated for nutritional classification of cereal foods and the results between two spectroscopic methods were compared. One hundred twenty ground cereal samples were used in this study and samples were classified based on their primary nutritional components: total dietary fiber, protein, sugar and fat. Samples were scanned using both FT-Raman instrument and dispersive NIR instruments. Raman scatter was collected using a Ge detector over the Raman shift range of 200-3600 cm-1 and NIR spectra were collected in the range of 700-2500 nm region. The spectral data were preprocessed with several chemometric methods before analysis to enhance the results. Soft Independent Modeling of Class Analogy (SIMCA) classification from principal component analysis were performed using Unscrambler software package (v 9.0) and Matlab (v 7.01) with PLS_Tool box (v.3.5).