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Nanostructured Cobalt‐Based Electrocatalysts for CO2 Reduction: Recent Progress, Challenges, and Perspectives
Small ( IF 13.0 ) Pub Date : 2020-12-01 , DOI: 10.1002/smll.202004158
Zhangsen Chen 1 , Gaixia Zhang 1 , Lei Du 1 , Yi Zheng 2 , Lixian Sun 3 , Shuhui Sun 1
Affiliation  

CO2 reduction reaction (CO2RR) provides a promising strategy for sustainable carbon fixation by converting CO2 into value‐added fuels and chemicals. In recent years, considerable efforts are focused on the development of transition‐metal (TM)‐based catalysts for the selectively electrochemical CO2 reduction reaction (ECO2RR). Co‐based catalysts emerge as one of the most promising electrocatalysts with high Faradaic efficiency, current density, and low overpotential, exhibiting excellent catalytic performance toward ECO2RR for CO and HCOOH productions that are economically viable. The intrinsic contribution of Co and the synergistic effects in Co‐hybrid catalysts play essential roles for future commercial productions by ECO2RR. This review summarizes the rational design of Co‐based catalysts for ECO2RR, including molecular, single‐metal‐site, and oxide‐derived catalysts, along with the nanostructure engineering techniques to highlight the distribution of the ECO2RR products by Co‐based catalysts. The density functional theory (DFT) simulations and advanced in situ characterizations contribute to interpreting the synergies between Co and other materials for the enhanced product selectivity and catalytic activity. Challenges and outlook concerning the catalyst design and reaction mechanism, including the upgrading of reaction systems of Co‐based catalysts for ECO2RR, are also discussed.

中文翻译:

纳米钴还原钴基电催化剂:最新进展,挑战和前景

通过将CO 2转化为增值燃料和化学品,CO 2还原反应(CO 2 RR)为可持续固碳提供了一种有前途的策略。近年来,人们致力于开发用于选择性电化学还原CO 2还原反应(ECO 2 RR)的过渡金属(TM)基催化剂。钴基催化剂是具有高法拉第效率,高电流密度和低过电位的最有希望的电催化剂之一,对ECO 2表现出优异的催化性能。经济上可行的CO和HCOOH生产的RR。Co的内在贡献和Co-混合催化剂中的协同效应对于ECO 2 RR的未来商业化生产起着至关重要的作用。这篇综述总结了用于ECO 2 RR的钴基催化剂的合理设计,包括分子催化剂,单金属中心催化剂和氧化物衍生的催化剂,以及纳米结构工程技术以突出ECO 2的分布。钴基催化剂的RR产品。密度泛函理论(DFT)模拟和先进的原位表征有助于解释Co和其他材料之间的协同作用,以提高产品的选择性和催化活性。还讨论了有关催化剂设计和反应机理的挑战和展望,包括用于ECO 2 RR的钴基催化剂反应系统的升级。
更新日期:2020-12-28
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