Quantification of Sugar Mixtures with Near-Infrared Raman Spectroscopy and Multivariate Data Analysis. A Quantitative Analysis Laboratory Experiment

Liqun Wang
School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332
Boris Mizaikoff and Christine Kranz
School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332; and University of Ulm, Institute of Analytical and Bioanalytical Chemistry, Ulm, Germany
J. Chem. Educ., 2009, 86 (11), p 1322
DOI: 10.1021/ed086p1322
Publication Date (Web): November 1, 2009

Abstract

An experiment for Raman spectroscopy in combination with multivariate data analysis was designed and implemented in the undergraduate analytical chemistry laboratory curriculum. Raman spectroscopy is currently considered among the most important nondestructive routine optical analysis tools. An experiment is presented demonstrating the capability of Raman spectroscopy in combination with principal components analysis and regression (PCA/PCR), which was applied to determine the composition of complex sugar mixtures that cannot be adequately quantified using conventional univariate analysis methods.

Keywords (Audience):

Upper-Division Undergraduate

Keywords (Domain):

Analytical Chemistry

Keywords (Pedagogy):

Hands-On Learning / Manipulatives

Keywords (Subject):

Calibration
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History

  • Received: August 03, 2009

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