Ma Jiamin, Huang Lin, Chen Keyu, Wang Jigang, Kang Xiongwu, Cao Xuebo
College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China.
College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China.
J Colloid Interface Sci. 2023 Dec 15;652(Pt B):1734-1742. doi: 10.1016/j.jcis.2023.08.202. Epub 2023 Sep 1.
Electrocatalytic reduction of CO (CORR) to value-added fuels and chemicals can potentially serve as a promising strategy to curb CO accumulation and carbon neutral cycle, but is still plagued by sluggish kinetics, poor selectivity and weak durability. Herein, we developed highly-dispersed nickel species on the nitrogen-doped carbon materials (Ni/NC) via the double solvent method (DSM), followed by the pyrolysis. The as-prepared Ni/NC possesses high CO-to-CO selectivity of 93.2%∼98.6% at broad potential range (0.57 ∼ 0.97 V), decent j of 57.9 mAcm at -1.07 V, and significant robustness (retaining 96.3% of the initial faradaic efficiency for CO formation after 50 h electrolysis). As manifested by the rotating ring-disk electrode (RRDE) tests, the DSM-based Ni/NC possesses more significant pH-buffering capacity than Ni nanoparticles, thus promotes the CO-to-CO. DFT calculations unveil that Ni/NC exhibits relatively lower d-band center, hence resulting in favorable desorption of CO from the catalyst surface that intrinsically boost the CO-to-CO compared with the nanoparticle catalyst. These results suggest that the DSM-derived Ni/NC catalysts is a promising candidate towards large-scale application of CO-to-CO.
将一氧化碳电催化还原(CORR)为增值燃料和化学品可能是抑制一氧化碳积累和实现碳中性循环的一种有前景的策略,但仍受限于缓慢的动力学、较差的选择性和较弱的耐久性。在此,我们通过双溶剂法(DSM)在氮掺杂碳材料(Ni/NC)上制备了高度分散的镍物种,随后进行热解。所制备的Ni/NC在较宽的电位范围(0.57 ∼ 0.97 V)内具有93.2% ∼ 98.6%的高CO到CO选择性,在-1.07 V时具有57.9 mAcm的良好电流密度,以及显著的稳定性(在50小时电解后,CO生成的初始法拉第效率保留96.3%)。旋转环盘电极(RRDE)测试表明,基于DSM的Ni/NC比镍纳米颗粒具有更显著的pH缓冲能力,从而促进了CO到CO的转化。密度泛函理论(DFT)计算表明,Ni/NC表现出相对较低的d带中心,因此与纳米颗粒催化剂相比,CO从催化剂表面的脱附更有利,这本质上促进了CO到CO的转化。这些结果表明,DSM衍生的Ni/NC催化剂是CO到CO大规模应用的有前景的候选者。