Identifying Active Oxygen and Copper Species in Cu/CeO<sub>2</sub> Catalysts Using Raman and UV–Vis Modulation Excitation Spectroscopy

Modulation excitation spectroscopy (MES) with so-called phase-sensitive detection (PSD) is receiving increasing attention for the identification of active species and the elucidation of reaction mechanisms in heterogeneous catalysis. We report the combination of Raman- and UV–vis-MES to be a powerful approach to gain new mechanistic insight into oxide-supported metal catalysts, as illustrated for the CO oxidation over low-loaded Cu/CeO2 catalysts. Due to the enhanced sensitivity of the MES/PSD approach, Raman spectroscopy provides direct evidence for the active participation of surface lattice oxygen of the ceria support in the reaction mechanism. While Raman-MES enables exclusive insight into the role of the ceria support, UV–vis-MES is shown to be sensitive to the low copper loading. ME-UV–vis spectra highlight the redox activity of copper species and the electronic interactions between copper and ceria, revealing major reduction of Cu2+ to Cu+ while reduction of Ce4+ to Ce3+ is minor under the studied reaction conditions. Based on the mechanistic findings provided by the combined Raman/UV–vis-MES/PSD methodology, we expect this approach to be a valuable tool to gain information about active species and sites of catalysts relevant for renewable energy.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry C
Published
2024-11-04
DOI
https://doi.org/10.1021/acs.jpcc.4c05826
Citations
11
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
1.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts Using Raman and UV–Vis Modulation Excitation Spectroscopy

Christian Walter Hess, H. Hoyer
11 citations
The Journal of Physical Chemistry C
Catalytic Processes in Materials Science
1.29
article

Identifying Active Oxygen and Copper Species in Cu/CeO2 Catalysts Using Raman and UV–Vis Modulation Excitation Spectroscopy

Christian Walter Hess, H. Hoyer
article en
11 citations

Abstract

Modulation excitation spectroscopy (MES) with so-called phase-sensitive detection (PSD) is receiving increasing attention for the identification of active species and the elucidation of reaction mechanisms in heterogeneous catalysis. We report the combination of Raman- and UV–vis-MES to be a powerful approach to gain new mechanistic insight into oxide-supported metal catalysts, as illustrated for the CO oxidation over low-loaded Cu/CeO2 catalysts. Due to the enhanced sensitivity of the MES/PSD approach, Raman spectroscopy provides direct evidence for the active participation of surface lattice oxygen of the ceria support in the reaction mechanism. While Raman-MES enables exclusive insight into the role of the ceria support, UV–vis-MES is shown to be sensitive to the low copper loading. ME-UV–vis spectra highlight the redox activity of copper species and the electronic interactions between copper and ceria, revealing major reduction of Cu2+ to Cu+ while reduction of Ce4+ to Ce3+ is minor under the studied reaction conditions. Based on the mechanistic findings provided by the combined Raman/UV–vis-MES/PSD methodology, we expect this approach to be a valuable tool to gain information about active species and sites of catalysts relevant for renewable energy.

The Journal of Physical Chemistry CVol. 128(50)
Technische Universität Darmstadt (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 16%
Catalytic Processes in Materials Science
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.