Laser-generated X/InxOy/ZrO2 (X = Ni, Cu) composite catalysts: influence of support structure and in loading on catalytic activity

CO2 hydrogenation to methanol is a favorable approach due to the vast potential usage of the produced methanol. Apart from copper-based catalysts, indium oxide-based catalysts have been reported as suitable candidates for CO2 transformation to a highly interesting product such as methanol. In this study, two different ZrO2 were used as support for laser-generated indium oxide combined with copper or nickel nanoparticles. The prepared catalysts demonstrated strong dependence in their catalytic activity, especially CO2 conversion and methanol selectivity, on the start form of ZrO2 support (monoclinic or mixed-phase), and on the metal promoter (copper or nickel). In particular, catalysts prepared with mixed-phase ZrO2 support showed up to 210% higher CO2 conversion compared to the monoclinic ZrO2-supported variants, which is unambiguously connected with the higher specific surface area of the used ZrO2 crystal modification. Concerning the influence of the metallic co-catalysts, the copper-based catalysts showed up to two times higher yield and selectivity towards methanol compared to those that used nickel oxides. In summary, this study shows the usability of laser-generated nanoparticles as catalysts for the catalyzed hydrogenation of CO2 to methanol, with certain advantages in relation to the transformation of the initial phase to the form of the active catalyst for the studied reaction.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-13
DOI
https://doi.org/10.1038/s41598-026-47757-3
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Laser-generated X/InxOy/ZrO2 (X = Ni, Cu) composite catalysts: influence of support structure and in loading on catalytic activity

Robert Prucek, Tomáš Stryšovský, Sven Reichenberger, Josef Kašlík et al.
Scientific Reports
Catalysts for Methane Reforming
article

Laser-generated X/InxOy/ZrO2 (X = Ni, Cu) composite catalysts: influence of support structure and in loading on catalytic activity

Robert Prucek, Tomáš Stryšovský, Sven Reichenberger, Josef Kašlík, Aleš Panáček, Martin Petr, Libor Kvítek
article en

Abstract

CO2 hydrogenation to methanol is a favorable approach due to the vast potential usage of the produced methanol. Apart from copper-based catalysts, indium oxide-based catalysts have been reported as suitable candidates for CO2 transformation to a highly interesting product such as methanol. In this study, two different ZrO2 were used as support for laser-generated indium oxide combined with copper or nickel nanoparticles. The prepared catalysts demonstrated strong dependence in their catalytic activity, especially CO2 conversion and methanol selectivity, on the start form of ZrO2 support (monoclinic or mixed-phase), and on the metal promoter (copper or nickel). In particular, catalysts prepared with mixed-phase ZrO2 support showed up to 210% higher CO2 conversion compared to the monoclinic ZrO2-supported variants, which is unambiguously connected with the higher specific surface area of the used ZrO2 crystal modification. Concerning the influence of the metallic co-catalysts, the copper-based catalysts showed up to two times higher yield and selectivity towards methanol compared to those that used nickel oxides. In summary, this study shows the usability of laser-generated nanoparticles as catalysts for the catalyzed hydrogenation of CO2 to methanol, with certain advantages in relation to the transformation of the initial phase to the form of the active catalyst for the studied reaction.

Scientific Reports
Regional Centre of Advanced Technologies and Materials (CZ), University of Duisburg-Essen (DE), Palacký University Olomouc (CZ)
Ministerstvo Školství, Mládeže a Tělovýchovy, Univerzita Palackého v Olomouci
Openalex Percentile: Top 13%
Catalysts for Methane Reforming
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.