High‐Durability Metal‐Doped Cu/ZnO/Al <sub>2</sub> O <sub>3</sub> Catalysts for Reforming of Model Biomethanol

catalysts (M-CZA; M = Co, Ni, Ru, Rh, Pd, Pt) were synthesized and evaluated for the autothermal reforming (ATR) of model biomass-derived methanol (biomethanol) containing trace ethanol or 1-butanol impurities. The objective was to improve the efficient utilization of impure biomethanol for hydrogen production. The introduction of 1 mol% ethanol decreased the methanol conversion and hydrogen production rates over CZA, Co-CZA, Pd-CZA, and Pt-CZA catalysts during the initial reaction stage, with further decline over time. In contrast, Ni-CZA, Ru-CZA, and Rh-CZA maintained stable activity under identical conditions. Ethanol was converted mainly into C1-C3 byproducts such as methane, acetaldehyde, and methyl acetate on CZA, Co-CZA, Pd-CZA, and Pt-CZA, whereas Ni-CZA, Ru-CZA, and Rh-CZA predominantly formed methane and carbon monoxide with negligible formation of carbonaceous species. Temperature-programmed oxidation indicated the deposition of carbonaceous species on spent CZA, Co-CZA, Pd-CZA, and Pt-CZA, but not on Ni-, Ru-, or Rh-modified catalysts. These results suggest that Ni, Ru, and Rh enhance C-C bond cleavage in lower alcohols, thereby suppressing carbon deposition and improving catalyst durability. This study provides practical insights for designing efficient ATR catalysts for on-site hydrogen generation from biomethanol containing impurities.

Institutions

Publication Details

Journal
ChemistryOpen
Published
2026-05-19
DOI
https://doi.org/10.1002/open.202600010
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

High‐Durability Metal‐Doped Cu/ZnO/Al 2 O 3 Catalysts for Reforming of Model Biomethanol

ChemistryOpen
Catalysts for Methane Reforming
article

High‐Durability Metal‐Doped Cu/ZnO/Al 2 O 3 Catalysts for Reforming of Model Biomethanol

article en

Abstract

catalysts (M-CZA; M = Co, Ni, Ru, Rh, Pd, Pt) were synthesized and evaluated for the autothermal reforming (ATR) of model biomass-derived methanol (biomethanol) containing trace ethanol or 1-butanol impurities. The objective was to improve the efficient utilization of impure biomethanol for hydrogen production. The introduction of 1 mol% ethanol decreased the methanol conversion and hydrogen production rates over CZA, Co-CZA, Pd-CZA, and Pt-CZA catalysts during the initial reaction stage, with further decline over time. In contrast, Ni-CZA, Ru-CZA, and Rh-CZA maintained stable activity under identical conditions. Ethanol was converted mainly into C1-C3 byproducts such as methane, acetaldehyde, and methyl acetate on CZA, Co-CZA, Pd-CZA, and Pt-CZA, whereas Ni-CZA, Ru-CZA, and Rh-CZA predominantly formed methane and carbon monoxide with negligible formation of carbonaceous species. Temperature-programmed oxidation indicated the deposition of carbonaceous species on spent CZA, Co-CZA, Pd-CZA, and Pt-CZA, but not on Ni-, Ru-, or Rh-modified catalysts. These results suggest that Ni, Ru, and Rh enhance C-C bond cleavage in lower alcohols, thereby suppressing carbon deposition and improving catalyst durability. This study provides practical insights for designing efficient ATR catalysts for on-site hydrogen generation from biomethanol containing impurities.

ChemistryOpenVol. 15(6)
Waseda University (JP), Tokyo Metropolitan University (JP)
Tokyo Metropolitan Government, Ministry of Education, Culture, Sports, Science and Technology
Openalex Percentile: Top 14%
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.