Significant Roles of Surface Hydrides in Enhancing the Performance of Cu/BaTiO 2.8 H 0.2 Catalyst for CO 2 Hydrogenation to Methanol
Tuning the anionic site of catalyst supports can impact reaction pathways by creating active sites on the support or influencing metal-support interactions when using supported metal nanoparticles. This study focuses on CO hydrogenation over supported Cu nanoparticles, revealing a 3-fold increase in...
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Veröffentlicht in: | Angewandte Chemie International Edition 2024-01, Vol.63 (1), p.e202313389 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Tuning the anionic site of catalyst supports can impact reaction pathways by creating active sites on the support or influencing metal-support interactions when using supported metal nanoparticles. This study focuses on CO
hydrogenation over supported Cu nanoparticles, revealing a 3-fold increase in methanol yield when replacing oxygen anions with hydrides in the perovskite support (Cu/BaTiO
H
yields ~146 mg/h/gCu vs. Cu/BaTiO
yields ~50 mg/h/gCu). The contrast suggests that significant roles are played by the support hydrides in the reaction. Temperature programmed reaction and isotopic labelling studies indicate that BaTiO
H
surface hydride species follow a Mars van Krevelen mechanism in CO
hydrogenation, promoting methanol production. High-pressure steady-state isotopic transient kinetic analysis (SSITKA) studies suggest that Cu/BaTiO
H
possesses both a higher density and more active and selective sites for methanol production compared to Cu/BaTiO
. An operando high-pressure diffuse reflectance infrared spectroscopy (DRIFTS)-SSITKA study shows that formate species are the major surface intermediates over both catalysts, and the subsequent hydrogenation steps of formate are likely rate-limiting. However, the catalytic reactivity of Cu/BaTiO
H
towards the formate species is much higher than Cu/BaTiO
, likely due to the altered electronic structure of interface Cu sites by the hydrides in the support as validated by density functional theory (DFT) calculations. |
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ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.202313389 |