The electrochemical CO
2 reduction reaction (CO
2RR) is a promising approach to close the carbon cycle by converting CO
2 to high-value chemicals and fuels. Past reports have shown that modulating the electric field at the electrode-electrolyte interface can influence the selectivity of CO
2RR by tuning the kinetics and thermodynamics of key elementary steps.
1,2 One strategy to modulate this interfacial electric field involves introducing an additive molecular layer on the metal catalyst surface, leveraging electrostatic interactions and dielectric effects.
2 The resulting hybrid catalyst with a rich metal-additive interface has been shown to enhance CO production, stabilize key intermediates, and promote C-C coupling.
3–6 However, the atomic-scale interactions between the metal and additive layer, as well as the effect of the additive layer on the interfacial electric field at the metal-additive interface, remains unclear.
In this study, a model interface comprising copper (Cu) and cobalt phthalocyanine (CoPc) was prepared to investigate the potential dependent interfacial electric field using in situ surface-enhanced Raman spectroscopy and grand-canonical density functional theory (GC-DFT) calculations. Our findings reveal that CoPc attenuates the electric field at the Cu-CoPc interface compared to a bare Cu surface. Electrolysis experiments show that CoPc-modified Cu catalyst exhibits an enhanced selectivity towards multicarbon (C2+) products relative to bare Cu. Complimentary GC-DFT further corroborates that CoPc decreases the magnitude of the electric field, which in turn lowers the energy barrier for the C-C coupling step. These insights underscore the potential of interfacial electric field modulation as a strategy to enhance the selective C2+ production of the Cu catalyst during CO2RR.
References:
(1) ACS Catal. 2016, 6 (10), 7133–7139
(2) Chem Catalysis 2022, 2 (9), 2229–2252.
(3) Nat. Nanotechnol. 2024, 19 (3), 311–318.
(4) Journal of Energy Chemistry 2024, 92, 499–507.
(5) Nat Catal 2019, 3 (1), 75–82.
(6) Nano Lett. 2022, 22 (9), 3801–3808.