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水辅助电催化有机氧化的两个关键原位物理化学描述符的参数化和量化

Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation.

作者信息

Tian Bailin, Wang Fangyuan, Ran Pan, Dai Luhan, Lv Yang, Sun Yuxia, Mu Zhangyan, Sun Yamei, Tang Lingyu, Goddard William A, Ding Mengning

机构信息

Key Laboratory of Mesoscopic Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu, China.

Materials and Process Simulation Center (MSC) and Liquid Sunlight Alliance (LiSA), California Institute of Technology, Pasadena, CA, USA.

出版信息

Nat Commun. 2024 Nov 22;15(1):10145. doi: 10.1038/s41467-024-54318-7.

Abstract

Electro-selective-oxidation using water as a green oxygen source demonstrates promising potential towards efficient and sustainable chemical upgrading. However, surface micro-kinetics regarding co-adsorption and reaction between organic and oxygen intermediates remain unclear. Here we systematically study the electro-oxidation of aldehydes, alcohols, and amines on Co/Ni-oxyhydroxides with multiple characterizations. Utilizing Fourier transformed alternating current voltammetry (FTacV) measurements, we show the identification and quantification of two key operando parameters (ΔI/I and ΔV) that can be fundamentally linked to the altered surface coverage ( ) and the changes in adsorption energy of vital oxygenated intermediates ( ), under the influence of organic adsorption/oxidation. Mechanistic analysis based on these descriptors reveals distinct optimal oxyhydroxide surface states for each organics, and elucidates the critical catalyst design principles: balancing organic and M-OH* coverages and fine-tuning ΔG for key elementary steps, e.g., via precise modulation of chemical compositions, crystallinity, defects, electronic structures, and/or surface bimolecular interactions.

摘要

使用水作为绿色氧源的电选择性氧化在高效且可持续的化学升级方面展现出了广阔的潜力。然而,关于有机中间体和氧中间体之间的共吸附和反应的表面微观动力学仍不清楚。在此,我们通过多种表征手段系统地研究了醛、醇和胺在钴/镍氢氧化物上的电氧化过程。利用傅里叶变换交流伏安法(FTacV)测量,我们展示了两个关键的原位参数(ΔI/I和ΔV)的识别和量化,在有机吸附/氧化的影响下,这两个参数可从根本上与表面覆盖率的变化( )以及重要含氧中间体吸附能的变化( )联系起来。基于这些描述符的机理分析揭示了每种有机物独特的最佳氢氧化物表面状态,并阐明了关键的催化剂设计原则:平衡有机和M-OH*覆盖率,并微调关键基元步骤的ΔG,例如通过精确调节化学成分、结晶度、缺陷、电子结构和/或表面双分子相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2421/11584659/2b9c1d67e5f4/41467_2024_54318_Fig1_HTML.jpg

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