Your browser doesn't support javascript.
loading
Coherent Vibrational Spectrum via Time-Resolved Fluorescence for Molecular Dynamics and Identification of Emitting Species-Application to Excited-State Intramolecular Proton Transfer.
Lee, Seung Noh; Ahn, Jungsoo; Joo, Taiha.
Afiliação
  • Lee SN; Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea.
  • Ahn J; Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea.
  • Joo T; Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea.
J Phys Chem A ; 126(30): 4962-4968, 2022 Aug 04.
Article em En | MEDLINE | ID: mdl-35856811
ABSTRACT
Time-resolved fluorescence (TF) with high-enough resolution enables recording of a coherent vibrational spectrum (CVS). Because a CVS attained via TF (CVSF) is descended from the frequency modulation of the fluorescence spectrum, it gives the vibrational spectrum of the emitting state. Therefore, CVSF can be a powerful tool for the identification of an emitting state along with the investigation of molecular dynamics in excited states. Herein, we report CVSF of a Schiff base salicylaldehyde azine (SAA) that has two possible excited-state intramolecular proton transfer (ESIPT) sites. The ESIPT time of SAA in dichloromethane is determined to be 22 fs. Quantitative agreement between the experimental CVSF and calculated CVSF of the mono-keto isomer demonstrates that ESIPT indeed occurs in SAA only on one side. More importantly, we show that a CVSF can be utilized to identify an emitting species and its state with the help of quantum chemical calculations. Implications of the CVSF obtained by assuming impulsive excitation of vibrations are discussed in terms of the molecular mechanism of ESIPT and the generation of nuclear wave packets in the product state.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article