Wu Mao, Huang Danji, Lai Feili, Yang Ruoou, Liu Yan, Fang Jiakun, Zhai Tianyou, Liu Youwen
State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Republic of China.
School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People's Republic of China.
Proc Natl Acad Sci U S A. 2023 Oct 3;120(40):e2302851120. doi: 10.1073/pnas.2302851120. Epub 2023 Sep 25.
Sequentially managing the coverage and dimerization of *CO on the Cu catalysts is desirable for industrial-current-density CO reduction (COR) to C, which required the multiscale design of the surface atom/architecture. However, the oriented design is colossally difficult and even no longer valid due to unpredictable reconstruction. Here, we leverage the synchronous leaching of ligand molecules to manipulate the seeding-growth process during COR reconstruction and construct Cu arrays with favorable (100) facets. The gradient diffusion in the reconstructed array guarantees a higher *CO coverage, which can continuously supply the reactant to match its high-rate consumption for high partial current density for C. Sequentially, the lower energy barriers of *CO dimerization on the (100) facets contribute to the high selectivity of C. Profiting from this sequential *CO management, the reconstructed Cu array delivers an industrial-relevant FE of 86.1% and an FE of 60.8% at 700 mA cm. Profoundly, the atomic-molecular scale delineation for the evolution of catalysts and reaction intermediates during COR can undoubtedly facilitate various electrocatalytic reactions.
对于工业电流密度下将CO还原为C的反应,依次控制CO在Cu催化剂上的覆盖度和二聚化是很有必要的,这需要对表面原子/结构进行多尺度设计。然而,由于不可预测的重构,定向设计极其困难甚至不再有效。在此,我们利用配体分子的同步浸出来操控CO还原重构过程中的晶种生长过程,并构建具有有利(100)晶面的Cu阵列。重构阵列中的梯度扩散保证了更高的CO覆盖度,这能够持续供应反应物以匹配其在高偏电流密度下对C的高速消耗。接着,(100)晶面上CO二聚化的较低能垒有助于实现对C的高选择性。受益于这种对CO的依次调控,重构后的Cu阵列在700 mA cm下实现了86.1%的工业相关法拉第效率和60.8%的法拉第效率。深刻地讲,对CO还原过程中催化剂和反应中间体演化的原子-分子尺度描绘无疑能够促进各种电催化反应。