Ionic effects on the proton transfer mechanism in aqueous solutions

Literature Information

Publication Date 2017-08-25
DOI 10.1039/C7CP04392A
Impact Factor 3.676
Authors

Joonyoung F. Joung, Sangin Kim, Sungnam Park


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Abstract

Proton dissociation (PD) reactions of weak acids and proton transfer (PT) processes in aqueous solutions are strongly influenced by ions. However, a detailed molecular picture that describes how ions affect the rates of PD and PT processes is still missing. Here, we utilize time-resolved fluorescence spectroscopy combined with quantum chemical calculations to investigate the excited-state proton transfer (ESPT) reaction of a photoacid in aqueous metal chloride solutions. The activation energy (Ea) for the ESPT of the photoacid increases with increasing charge density of cations (ρcat). The local hydrogen bond (H-bond) structure of the photoacid in the ionic hydration shell is strongly related to both the Ea and the ρcat. Most importantly, the proton's positive charge in the transition state, which is delocalized through the H-bonded water channel, is more destabilized with an increase in the ρcat, leading to a higher Ea. Our experimental and computational results allow us to elucidate the underlying mechanism for the ionic effect on PD and the subsequent PT process at the molecular level.

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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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