Title: | Cascade Electrocatalytic and Thermocatalytic Reduction of CO2 to Propionaldehyde |
Authors: | Jie Zhang1,3#, Xingsi Kang2#, Yuchen Yan1,3,Xue Ding1,3,Lin He2*, and Yanguang Li1,3,4* |
Institutions: | 1Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou 215123 (China) 2State Key Laboratory for Oxo Synthesis and Selective Oxidation Suzhou Research Institute of LICP, Lanzhou Institute of ChemicalPhysics (LICP), Chinese Academy of Sciences Lanzhou 730000(China) 3Jiangsu Key Laboratory for Advanced Negative Carbon Technologies Soochow University Suzhou 215123 (China) 4Macao Institute of Materials Science and Engineering (MIMSE), MUST-SUDA Joint Research Center for Advanced Functional Materials Macau University of Science and Technology Taipa, Macao 999078 (China) |
Abstract: | Electrochemical CO2 reduction can convert CO2 to value-added chemicals, but its selectivity toward C3+ products are very limited. One possible solution is to run the reactions in hybrid processes by coupling electrocatalysis with other catalytic routes. In this contribution, we report the cascade electrocatalytic and thermocatalytic reduction of CO2 to propionaldehyde. Using Cu(OH)2 nanowires as the precatalyst, CO2/H2O is reduced to concentrated C2H4, CO, and H2 gases in a zero-gap membrane electrode assembly (MEA) reactor. The thermochemical hydroformylation reaction is separately investigated with a series of rhodium-phosphine complexes. The best candidate is identified to be the one with the 1,4-bis(diphenylphosphino)butane diphosphine ligand, which exhibits a propionaldehyde turnover number of 1148 under a mild temperature and close-to-atmospheric pressure. By coupling and optimizing the upstream CO2 electroreduction and downstream hydroformylation reaction, we achieve a propionaldehyde selectivity of ~38% and a total C3 oxygenate selectivity of 44% based on reduced CO2. These values represent a more than seven times improvement over the best prior electrochemical system alone or over two times improvement over other hybrid systems. |
IF: | 16.823 |
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Editor: Guo Jia