Self-Modeling Mixture Analysis Applied to FT-Raman Spectral Data of Hydrogen Peroxide Activation by Nitriles

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Abstract:

In the analytical environment, spectral data resulting from analysis of samples often represent mixtures of several components. Extraction of information about pure components of these kinds of mixtures is a major problem, especially when reference spectra are not available or when unstable intermediates are formed. Self-modeling multivariate mixture analysis has been developed for this type of problem. In this paper two examples will be used to show the potential of this technique coupled with FT-Raman spectroscopy to elucidate reaction mechanisms and to follow in situ the kinetics of chemical transformations.

Keywords: SIMPLISMA FT-RAMAN SPECTROSCOPY HYDROGEN PEROXIDE PEROXYCARBOXIMIDIC ACIDS

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702971940288

Publication date: March 1, 1997

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