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United States Department of Agriculture

Agricultural Research Service

Title: Use of NIR and Raman Spectra to Interpret and Predict RVA Viscograms

item Himmelsbach, David
item Barton Ii, Franklin

Submitted to: Eastern Analytical Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 10/31/2007
Publication Date: 11/9/2007
Citation: Himmelsbach, D.S., Barton Ii, F.E. 2007. Use of NIR and Raman Spectra to Interpret and Predict RVA Viscograms. Eastern Analytical Symposium 12- 15 November, 2007, Paper #564.

Interpretive Summary:

Technical Abstract: Fourier-transform NIR and Raman spectroscopies were utilized, by way of two-dimensional correlation, to provide insight into the influence of chemical components on Rapid Visco Analyzer (RVA) generated viscograms and to predict them from the spectra of the samples. Two-dimensional correlations were developed using partial least squares type-2 (PLS-2) models produced from the correlation of the vibrational spectra to the entire RVA viscograms. The calibration matrices generated provided information as to which chemical components contributed to various regions of the viscograms. Raman provided the most definitive chemical information. The synergistic use of these methods produced information not available from the individual methods alone. Both NIR and Raman spectroscopies were useful in the prediction of viscogram curves from the respective calibration matrices. The results permitted the generation viscoelastic properties from the chemistry of dry ground materials without the need to actually doing the viscometry. RVA curves generated in this manner were predicted within the error of repeated direct viscometry itself.

Last Modified: 06/25/2017
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