A New Possibility of the Generalized Two-Dimensional Correlation Spectroscopy. 1. Sample-Sample Correlation Spectroscopy

  title={A New Possibility of the Generalized Two-Dimensional Correlation Spectroscopy. 1. Sample-Sample Correlation Spectroscopy},
  author={Slobodan {\vS}a{\vs}iċ and Andrzej Muszyński and Yukihiro Ozaki},
  journal={Journal of Physical Chemistry A},
In this paper an extension of the generalized two-dimensional (2D) correlation spectroscopy, sample−sample correlation spectroscopy, is proposed to obtain the information about the species' perturbation-dependent dynamics. This is the first report of monitoring perturbation dynamics in the samples by generalized 2D approach. After the rows and columns of the experimental matrix are exchanged in a way that the spectral data set is arranged in rows, unlike the common case, the correlation between… 
Two-Dimensional Correlation Spectroscopy: Principle and Recent Theoretical Development
This review paper aims at examining the recent developments in optical two-dimensional (2D) correlation spectroscopy. Particular emphasis is put on progress in the theory and calculation methods in
Effect of Noise on the Evaluation of Correlation Coefficients in Two-Dimensional Correlation Spectroscopy
Two-dimensional (2D) correlation spectroscopy was proposed by Noda in 19891 and was later extended to a generalized form and has been further exploited to study selective molecular interactions in a multi-component system.
Identification and Interpretation of Generalized Two-Dimensional Correlation Spectroscopy Features through Decomposition of the Perturbation Domain
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, which simplify the interpretation of two- dimensional correlation spectroscopy maps and facilitate access to their rich information content.
Two-Dimensional Correlation Spectroscopy: The Power of Power Spectra
This work shows selected examples of using of the power spectra for the study of various kinds of samples with the aim to promote more common use of this tool.
New Approach to Generalized Two-Dimensional Correlation Spectroscopy. II: Eigenvalue Manipulation Transformation (EMT) for Noise Suppression
The concept of eigenvalue manipulating transformation (EMT) of a data matrix for noise suppression in two-dimensional correlation spectroscopy is introduced, with attractive flexibility to continuously fine-tune the balance between the desired noise reduction effect and the retention of pertinent spectral information.
Revealing System Dynamics through Decomposition of the Perturbation Domain in Two-Dimensional Correlation Spectroscopy
A technique is presented to simply and effectively decompose the perturbation domain in two-dimensional correlation maps calculated on a given set of vibrational spectra, exposing a wealth of kinetic information complementary to the information extracted from conventional 2D correlation spectroscopy.