@article {728,
	title = {Identification and interpretation of generalized two-dimensional correlation spectroscopy features through decomposition of the perturbation domain},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 8Cited Reference Count: 33},
	month = {Dec},
	pages = {1561-1574},
	type = {Article},
	abstract = {Generalized two-dimensional correlation spectroscopy offers great scope for revealing the behavior of relationships between components of a system under empirical study. We have developed methods that aid in the interpretation of two-dimensional correlation spectroscopy. These methods include reference patterns for two-dimensional correlation and correlation coefficient maps, their superposition and joint interpretation, and the use of delta functions to decompose them in the perturbation domain. We show how their joint use permits discrimination between similar two-dimensional correlation map features on the basis of different correlation coefficients. We also show how the decomposition of maps into the perturbation domain reflects the dynamic behavior of spectral features over the course of the perturbation and permits discrimination between otherwise highly similar two-dimensional correlation crosspeaks. These approaches simplify the interpretation of two-dimensional correlation spectroscopy maps and facilitate access to their rich information content.},
	keywords = {coefficient maps, COMPONENT ANALYSIS, correlation, FT-IR SPECTROSCOPY, INFRARED CORRELATION SPECTROSCOPY, INTENSITY CHANGES, MONOLAYER FILMS, perturbation domain decomposition, RAMAN-SPECTRA, reference patterns, SAMPLE-SAMPLE, SECONDARY STRUCTURE, SIMULATIONS, SPECTRA, trajectory peaks, two-dimensional correlation spectra},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800014},
	author = {Schulze, G. and Jirasek, A. and Blades, M. W. and Turner, R. F. B.}
}
@article {728,
	title = {Identification and interpretation of generalized two-dimensional correlation spectroscopy features through decomposition of the perturbation domain},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 8Cited Reference Count: 33},
	month = {Dec},
	pages = {1561-1574},
	type = {Article},
	abstract = {Generalized two-dimensional correlation spectroscopy offers great scope for revealing the behavior of relationships between components of a system under empirical study. We have developed methods that aid in the interpretation of two-dimensional correlation spectroscopy. These methods include reference patterns for two-dimensional correlation and correlation coefficient maps, their superposition and joint interpretation, and the use of delta functions to decompose them in the perturbation domain. We show how their joint use permits discrimination between similar two-dimensional correlation map features on the basis of different correlation coefficients. We also show how the decomposition of maps into the perturbation domain reflects the dynamic behavior of spectral features over the course of the perturbation and permits discrimination between otherwise highly similar two-dimensional correlation crosspeaks. These approaches simplify the interpretation of two-dimensional correlation spectroscopy maps and facilitate access to their rich information content.},
	keywords = {coefficient maps, COMPONENT ANALYSIS, correlation, FT-IR SPECTROSCOPY, INFRARED CORRELATION SPECTROSCOPY, INTENSITY CHANGES, MONOLAYER FILMS, perturbation domain decomposition, RAMAN-SPECTRA, reference patterns, SAMPLE-SAMPLE, SECONDARY STRUCTURE, SIMULATIONS, SPECTRA, trajectory peaks, two-dimensional correlation spectra},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800014},
	author = {Schulze, G. and Jirasek, A. and Blades, M. W. and Turner, R. F. B.}
}
@article {648,
	title = {Revealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 5Cited Reference Count: 36},
	month = {Dec},
	pages = {1551-1560},
	type = {Article},
	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.},
	keywords = {cross-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},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800013},
	author = {Jirasek, A. and Schulze, G. and Blades, M. W. and Turner, R. F. B.}
}
@article {648,
	title = {Revealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 5Cited Reference Count: 36},
	month = {Dec},
	pages = {1551-1560},
	type = {Article},
	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.},
	keywords = {cross-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},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800013},
	author = {Jirasek, A. and Schulze, G. and Blades, M. W. and Turner, R. F. B.}
}
