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Tuning CO 2 Hydrogenation Selectivity through Reaction-Driven Restructuring on Cu-Ni Bimetal Catalysts.

Kasala Prabhakar ReddyDaeho KimSeunghwa HongKi-Jeong KimRyong RyooJeong Young Young Park
Published in: ACS applied materials & interfaces (2023)
Tuning the selectivity of CO 2 hydrogenation is of significant scientific interest, especially using nickel-based catalysts. Fundamental insights into CO 2 hydrogenation on Ni-based catalysts demonstrate that CO is a primary intermediate, and product selectivity is strongly dependent on the oxidation state of Ni. Therefore, modifying the electronic structure of the nickel surface is a compelling strategy for tuning product selectivity. Herein, we synthesized well dispersed Cu-Ni bimetallic nanoparticles (NPs) using a simple hydrothermal method for CO selective CO 2 hydrogenation. A detailed study on the monometallic (Ni and Cu) and bimetallic (Cu x Ni 1- x ) catalysts supported on γ-Al 2 O 3 was performed to increase CO selectivity while maintaining the high reaction rate. The Cu 0.5 Ni 0.5 /γ-Al 2 O 3 catalyst shows a high CO 2 conversion and more CO product selectivity than its monometallic counterparts. The surface electronic and geometric structure of Cu 0.5 Ni 0.5 bimetallic NPs was studied using ambient pressure X-ray photoelectron spectroscopy (AP-XPS) and in situ diffuse reflectance infrared Fourier-transform spectroscopy under reaction conditions. The Cu core atoms migrate toward the surface, resulting in the restructuring of the Cu@Ni core-shell structure to a Cu-Ni alloy during the reaction and functioning as the active site by enhancing CO desorption. A systematic correlation is obtained between catalytic activity from a continuous fixed-bed flow reactor and the surface electronic structural details derived from AP-XPS results, establishing the structure-activity relationship. This investigation contributes to providing a strategy for controlling CO 2 hydrogenation selectivity by modifying the surface structure of bimetallic NP catalysts.
Keyphrases
  • metal organic framework
  • high resolution
  • transition metal
  • transcription factor
  • air pollution
  • magnetic resonance imaging
  • risk assessment
  • heavy metals
  • solid state