Exploiting the LDH Memory Effect in the Carbon Dioxide to Methanol Conversion

Abstract The conversion of carbon dioxide into platform chemicals such as methanol using copper‐zinc oxide‐alumina (CZA) catalysts is one of the most studied reactions of the past decade. A variety of materials has been tested as catalysts precursors for this reaction, including layered double hydroxides (LDHs). However, the memory effect property of these materials has yet to be fully exploited as a means to maximize their performance. Through successive reconstructions of CuZnAl and CuZnMgAl LDH in Cu(CH 3 COO) 2 aqueous solution, a family of catalysts is developed and thoroughly characterized by means of X‐ray diffraction, electron microscopy and photoelectron spectroscopy. The repeated cycles of calcination, followed by the reconstruction process, lead to the formation of heterostructures combining the recovered LDH structure with CuO nanoparticles (NPs) embedded within the LDH platelets. Each calcination‐reconstruction cycle leads to increasingly smaller and more monodisperse CuO NPs. Catalytic testing reveals the formation of Cu and ZnO NPs during the reductive activation of the LDH material, enabling a large Cu/ZnO interface. This Cu/ZnO synergy is promoted by the consecutive calcination‐reconstruction cycles, such that the third reconstruction of the parent LDH material nearly reaches the performance of the commercially available CZA catalyst.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-03
DOI
https://doi.org/10.1002/adfm.202502812
Citations
9
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
4.66

Funders

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

Exploiting the LDH Memory Effect in the Carbon Dioxide to Methanol Conversion

Frank Krumeich, Luca Artiglia, Gabriela Cârjă, Chiara Pischetola et al.
9 citations
Advanced Functional Materials
Catalytic Processes in Materials Science
4.66
article

Exploiting the LDH Memory Effect in the Carbon Dioxide to Methanol Conversion

Frank Krumeich, Luca Artiglia, Gabriela Cârjă, Chiara Pischetola, Jeroen A. van Bokhoven, Ioana M. Popa
article en
9 citations

Abstract

Abstract The conversion of carbon dioxide into platform chemicals such as methanol using copper‐zinc oxide‐alumina (CZA) catalysts is one of the most studied reactions of the past decade. A variety of materials has been tested as catalysts precursors for this reaction, including layered double hydroxides (LDHs). However, the memory effect property of these materials has yet to be fully exploited as a means to maximize their performance. Through successive reconstructions of CuZnAl and CuZnMgAl LDH in Cu(CH 3 COO) 2 aqueous solution, a family of catalysts is developed and thoroughly characterized by means of X‐ray diffraction, electron microscopy and photoelectron spectroscopy. The repeated cycles of calcination, followed by the reconstruction process, lead to the formation of heterostructures combining the recovered LDH structure with CuO nanoparticles (NPs) embedded within the LDH platelets. Each calcination‐reconstruction cycle leads to increasingly smaller and more monodisperse CuO NPs. Catalytic testing reveals the formation of Cu and ZnO NPs during the reductive activation of the LDH material, enabling a large Cu/ZnO interface. This Cu/ZnO synergy is promoted by the consecutive calcination‐reconstruction cycles, such that the third reconstruction of the parent LDH material nearly reaches the performance of the commercially available CZA catalyst.

Advanced Functional MaterialsVol. 35(36)
Paul Scherrer Institute (CH), ETH Zurich (CH), Bioengineering (Switzerland) (CH), Gheorghe Asachi Technical University of Iași (RO)
Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 5%
Catalytic Processes in Materials Science
4.66
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.