通过阴离子簇光电子能谱测定尿嘧啶的价电子亲和力

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2024-07-01 DOI:10.1039/D4CP02146K
Connor J. Clarke, E. Michi Burrow and Jan R. R. Verlet
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摘要

核碱基未占据的π*轨道被认为在低能电子附着到DNA上并导致损伤方面发挥着重要作用。虽然所有中性核碱基的最低阴离子态都是非结合态,但即使是最简单的核碱基尿嘧啶(U),其价阴离子(U-)是否是绝热结合态仍不清楚,而这对损伤过程的有效性具有重要影响。利用阴离子光电子能谱,我们证明了 U 的价电子亲和力(EAV)可以在弱溶解簇 U-(Ar)n 和 U-(N2)n 中精确测量。通过外推至孤立的 U 极限,我们发现 EAV = -2 ± 18 meV。我们从电子附着到 U 及其重组能的角度讨论了这些发现,并为从阴离子团簇的光电子能谱测定分子电子亲和力提供了更广泛的指导。
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The valence electron affinity of uracil determined by anion cluster photoelectron spectroscopy†

The unoccupied π* orbitals of the nucleobases are considered to play important roles in low-energy electron attachment to DNA, inducing damage. While the lowest anionic valence state is vertically unbound in all neutral nucleobases, it remains unclear even for the simplest nucleobase, uracil (U), whether its valence anion (U) is adiabatically bound, which has important implications on the efficacy of damage processes. Using anion photoelectron spectroscopy, we demonstrate that the valence electron affinity (EAV) of U can be accurately measured within weakly solvating clusters, U(Ar)n and U(N2)n. Through extrapolation to the isolated U limit, we show that EAV = −2 ± 18 meV. We discuss these findings in the context of electron attachment to U and its reorganization energy, and more generally establish guidance for the determination of molecular electron affinities from the photoelectron spectroscopy of anion clusters.

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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: 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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