The role of solvation models on the computed absorption and emission spectra: the case of fireflies oxyluciferin

Literature Information

Publication Date 2019-02-04
DOI 10.1039/C8CP07352J
Impact Factor 3.676
Authors

Cristina García-Iriepa, Madjid Zemmouche, Isabelle Navizet


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Abstract

Surrounding effects are crucial to successfully simulate the absorption and emission spectra of molecular systems. In this work we test different solvation models to compute transition energies and to simulate the spectra of oxyluciferin responsible for the light emission in fireflies and its derivatives. We demonstrate that, within the PCM model, the IBSF formalism is suitable for computing the transition energies of the oxyluciferin chemical forms characterized by a charge transfer character. On the other hand, the LR approach could be used for the chemical forms where an almost negligible charge transfer takes place. Moreover, we demonstrate that explicit solvation models, applied by QM/MM calculations, are needed to accurately reproduce the experimental shape of the spectra. Finally, the vibrationally resolved spectra using a solvation model (implicit or microsolvation) is computed. Some noticeable differences arise when considering the implicit solvation with respect to gas phase vibrational spectra, while small changes were found when explicit water molecules within a microsolvated model are considered.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

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.

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