Fluorescence behavior of (selected) flavonols: a combined experimental and computational study
文献情報
Sebastian Höfener, Pieter C. Kooijman, Janneke Groen, Freek Ariese, Lucas Visscher
In this article, results of (time-dependent) density functional theory (DFT and TDDFT) calculations are combined with experimental absorption and fluorescence measurements to explain fluorescence properties of a series of flavonols. The well-understood fluorescence properties of 3- and 5-hydroxyflavone are revisited and validate our combined experimental and theoretical approach. The accuracy of the computational data (energy differences for selected points at the PES, excitation energies and oscillator strengths) allows us to understand quite different experimentally observed fluorescence spectra in the presence of only subtle structural differences. We show that for flavonols with additional hydroxyl groups not the neutral molecule but rather anions lead to fluorescence and that solvation molecules need to be included explicitly in the theoretical calculations to obtain a sufficient accuracy—enabling the understanding and prediction of experimental data for flavonols belonging to different sub-classes.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.













