Suppr超能文献

原子分散金属位点的强自旋极化效应促进了石墨相氮化碳上硝基苯选择性光催化加氢制苯胺。

Strong Spin Polarization Effect of Atomically Dispersed Metal Site Boosts the Selective Photocatalytic Nitrobenzene Hydrogenation to Aniline over Graphitic Carbon Nitride.

作者信息

Deng Chaoyuan, Xie Shijie, Li Youji, Zhao Yukun, Zhou Peng, Sheng Hua, Ji Hongwei, Chen Chuncheng, Zhao Jincai

机构信息

Key Laboratory of Photochemistry, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China.

University of Chinese Academy of Sciences, Beijing 100049, P. R. China.

出版信息

J Phys Chem A. 2023 Mar 30;127(12):2787-2794. doi: 10.1021/acs.jpca.3c00634. Epub 2023 Mar 15.

Abstract

Atomically dispersed catalysts (ADCs) with a well-defined structure are theoretically desirable for a high-selectivity photocatalytic reaction. However, achieving high product selectivity remains a practical challenge for ADCs-based photocatalysts. Herein, we reveal a spin polarization effect on achieving high product selectivity (95.0%) toward the photocatalytic nitrobenzene (PhNO) hydrogenation to aniline (PhNH) on atomically dispersed Fe site-loaded graphitic carbon nitride (Fe/g-CN). In combination with the Gibbs free energy diagram and electronic structure analysis, the origin of the photocatalytic performance is attributed not only to the strong metal-support interaction between the Fe site and g-CN, but more importantly to the strong spin polarization effect that promotes the potential-determining step (PDS) of *PhNO to *PhNOH. This work could be helpful for the design of ADCs-based photocatalysts in view of the spin polarization effect.

摘要

具有明确结构的原子分散催化剂(ADCs)理论上适用于高选择性光催化反应。然而,对于基于ADCs的光催化剂而言,实现高产物选择性仍然是一个实际挑战。在此,我们揭示了一种自旋极化效应,该效应有助于在原子分散的负载铁位点的石墨相氮化碳(Fe/g-CN)上实现光催化硝基苯(PhNO)加氢制苯胺(PhNH)的高产物选择性(95.0%)。结合吉布斯自由能图和电子结构分析,光催化性能的起源不仅归因于铁位点与g-CN之间强烈的金属-载体相互作用,更重要的是归因于促进PhNO到PhNOH的电位决定步骤(PDS)的强自旋极化效应。鉴于自旋极化效应,这项工作可能有助于基于ADCs的光催化剂的设计。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验