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Kinetic-Model-Free Analysis of Transient Absorption Spectra Enabled by 2D Correlation Analysis

Title data

Hniopek, Julian ; Müller, Carolin ; Bocklitz, Thomas ; Schmitt, Michael ; Dietzek, Benjamin ; Popp, Jürgen:
Kinetic-Model-Free Analysis of Transient Absorption Spectra Enabled by 2D Correlation Analysis.
In: The Journal of Physical Chemistry Letters. Vol. 12 (2021) Issue 17 . - pp. 4148-4153.
ISSN 1948-7185
DOI: https://doi.org/10.1021/acs.jpclett.1c00835

Abstract in another language

Here, we present, to the best of our knowledge for the first time, a systematic study of utilizing 2D correlation analysis in the field of femtosecond transient absorption (fs-TA) spectroscopy. We present that the application of 2D correlation spectroscopy (2DCOS) to fs-TA spectroscopy enables a model-free means to analyze excited state kinetics, which is demonstrated on the model system [(tbbpy)2Ru(dppz)]2+ in different solvents. We show that TA-2DCOS is able to determine the number of processes contributing to the time-resolved spectral changes in fs-TA data sets, as well as extract the spectral response of these components. Overall, the results show that TA-2DCOS leads to the same results as obtained with methods relying on global lifetime analysis or multivariate curve resolution but without the need to specify a predetermined kinetic model. The work presented therefore highlights the potential of TA-2DCOS as a model-free approach for analyzing fs-TA spectral data sets.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 530 Physics
Date Deposited: 11 May 2023 12:19
Last Modified: 11 May 2023 12:19
URI: https://eref.uni-bayreuth.de/id/eprint/76401