Recent progress in advanced catalysts for electrocatalytic hydrogenation of organics in aqueous conditions

Ye Zeng, Mengting Zhao, Hongliang Zeng, Qiu Jiang, Fangwang Ming, Kai Xi, Zhoucheng Wang, Hanfeng Liang

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Electrocatalytic hydrogenation (ECH) of organics using water as hydrogen donors has been regarded as a green organic reduction technique to replace traditional chemical reactions that use sacrificial chemicals. The development of ECH process provides potential applications in the production of value-added chemicals owing to its low energy consumption, low pollution, high safety, and superior sustainability. However, its application is limited by the low conversion rate and poor selectivity toward desired products. The efficiency of ECH can be improved by rational design of electrocatalysts. This review covers several representative electrocatalytic systems (aldehydes, ketones, phenolic organics, alkynes, and organonitrogen compounds) and summarizes different ECH mechanisms, followed by thorough discussion on the modification strategies of electrocatalysts that are currently adopted to enhance the catalytic performance. Finally, in view of the current challenges for ECH, we discuss possible future directions in the field, aiming to provide guidance to the catalyst design toward highly efficient ECH reactions over different organic feedstocks.
Original languageEnglish (US)
Pages (from-to)100156
JournaleScience
DOIs
StatePublished - Jun 17 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-07-17
Acknowledgements: This work was supported by the Fundamental Research Funds for the Central Universities in China (No. 20720210010), National Natural Science Foundation of China (No. 22001081), the Science and Technology Projects of Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM, Grant No.: HRTP-[2022]-7) and Xiamen University. Qiu Jiang acknowledges the China Postdoctoral Science Foundation funded project (2022M710601) and the University of Electronic Science and Technology of China for startup funding (Y030212059003039).

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