Suppr超能文献

一种通过与铜纳米团簇整合来提高单原子铜-硫-氮催化剂电化学CO还原活性的串联策略。

A Tandem Strategy for Enhancing Electrochemical CO Reduction Activity of Single-Atom Cu-S N Catalysts via Integration with Cu Nanoclusters.

作者信息

Chen Datong, Zhang Lu-Hua, Du Jian, Wang Honghai, Guo Jiangyi, Zhan Jiayu, Li Fei, Yu Fengshou

机构信息

National-Local Joint Engineering Laboratory for Energy Conservation in Chemical Process Integration and Resources Utilization, School of Chemical Engineering and Technology, Hebei University of Technology, Tianjin, 300130, P. R. China.

State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian, 116024, P. R. China.

出版信息

Angew Chem Int Ed Engl. 2021 Nov 2;60(45):24022-24027. doi: 10.1002/anie.202109579. Epub 2021 Oct 4.

Abstract

We developed a tandem electrocatalyst for CO -to-CO conversion comprising the single Cu site co-coordinated with N and S anchored carbon matrix (Cu-S N ) and atomically dispersed Cu clusters (Cu ), denoted as Cu-S N /Cu . The as-prepared Cu-S N /Cu composite presents a 100 % Faradaic efficiency towards CO generation (FE ) at -0.65 V vs. RHE and high FE over 90 % from -0.55 to -0.75 V, outperforming the analogues with Cu-N (FE only 54 % at -0.7 V) and Cu-S N (FE 70 % at -0.7 V) configurations. The unsymmetrical Cu-S N atomic interface in the carbon basal plane possesses an optimized binding energy for the key intermediate *COOH compared with Cu-N site. At the same time, the adjacent Cu effectively promotes the protonation of *CO by accelerating water dissociation and offering *H to the Cu-S N active sites. This work provides a tandem strategy for facilitating proton-coupled electron transfer over the atomic-level catalytic sites.

摘要

我们开发了一种用于CO转化为CO的串联电催化剂,它由与N和S共配位并锚定在碳基质上的单Cu位点(Cu-S N )和原子分散的Cu簇(Cu )组成,记为Cu-S N /Cu 。所制备的Cu-S N /Cu复合材料在相对于可逆氢电极(RHE)为-0.65 V时对CO生成具有100%的法拉第效率(FE ),并且在-0.55至-0.75 V范围内FE超过90%,优于具有Cu-N(在-0.7 V时FE仅为54%)和Cu-S N (在-0.7 V时FE为70%)构型的类似物。与Cu-N位点相比,碳基面中不对称的Cu-S N 原子界面对于关键中间体COOH具有优化的结合能。同时,相邻的Cu通过加速水离解并向Cu-S N 活性位点提供H,有效地促进了*CO 的质子化。这项工作提供了一种串联策略,以促进质子耦合电子在原子级催化位点上的转移。

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