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Revealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy

TitleRevealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy
Publication TypeJournal Article
Year of Publication2003
AuthorsJirasek, A, Schulze, G, Blades, MW, Turner, RFB
JournalApplied Spectroscopy
Volume57
Pagination1551-1560
Date PublishedDec
Type of ArticleArticle
ISBN Number0003-7028
Keywordscross-correlation, FT-RAMAN, HUMAN, INFRARED CORRELATION SPECTROSCOPY, multivariate data, POLYACRYLAMIDE GELS, POLYMER GEL DOSIMETERS, RADIATION-DOSIMETRY, Raman spectroscopy, SAMPLE-SAMPLE, SECONDARY STRUCTURE, SERUM-ALBUMIN, SPECTRA, STRUCTURAL-CHANGES, two-dimensional correlation spectroscopy
Abstract

A technique is presented to simply and effectively decompose the perturbation domain in two-dimensional (2D) correlation maps calculated on a given set of vibrational spectra. Decomposition of the perturbation domain exposes a wealth of kinetic information complementary to the information extracted from conventional 2D correlation spectroscopy. It is shown that the technique produces "perturbation profile maps" that can be utilized in both the interpretation of the conventional 2D correlation maps and the independent kinetic analysis of the given system. Discrimination between spectral features exhibiting similar, but not identical, dynamics is facilitated by the decomposition, and spectral features exhibiting identical dynamics over the perturbation interval are quickly identified. Spectral features exhibiting similar dynamics over only a sub-range of the full perturbation are also identifiable. Interpretation of phase information illuminated in synchronous and asynchronous maps is simplified. Comparison between similar spectral features present in different samples is facilitated with the technique. The simplicity and ease of implementation of the technique make decomposition of the perturbation domain a valuable addition to the tools available in 2D correlation analysis.

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