Electrochemical glycerol oxidation reaction (GOR) presents a promising approach for converting excess glycerol (GLY) into high-value-added products. However, the complex mechanism and the challenge of achieving selectivity for diverse products make GOR difficult to address in both experimental and theoretical studies. In this work, three nitrogen-doped graphene-supported copper single-atom catalysts (CuNx@Gra SACs, x = 2-4) were selected as the model system due to their simple structure, excellent conductivity and high structural stability. Density functional theory (DFT) calculations were employed to gain deeper insight into the catalytic mechanism. The DFT results revealed that both CuN2@Gra and CuN3@Gra follow the same optimal pathway, leading to the formation of formic acid as a key product. The GOR activity and selectivity of CuNx@Gra catalysts follow the trend CuN3@Gra > CuN2@Gra > CuN4@Gra. Subsequent microkinetic analysis, based co on the DFT-derived energetics, confirmed this predicted activity sequence. The GOR activity determined by the limiting potential (UL) is correlate well with changes in the adsorption free energy (ΔGGLY*), the d-band centers of axial dz2 orbitals (εdz2) and integrated crystal orbital Hamilton population (ICOHP). Notably, the simple descriptor ΔGGLY* exhibits a good linear correlation with the free energies of other adsorbates, clarifying the conversion relationships between reaction intermediates and simplifying the understanding of reaction complexity. Moreover, computational results indicate that CuN2@Gra and CuN3@Gra systems can serve as both anode catalysts (for GOR) and cathode catalysts (CO2 reduction for CuN2@Gra and H2 evolution for CuN3@Gra). This study offers insights for designing efficient electrocatalysts, enhancing GLY utilization.
Keywords: Bifunctional catalysts; Copper single-atom catalysts; Density functional theory; Electrocatalytic glycerol oxidation reaction; Microkinetic simulation.
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