CO2 Hydrogenation to Methanol over Novel Melamine-Based Polyaminal Porous Polymer Coordinated to Cu-Based Catalyst

The catalytic conversion of carbon dioxide to methanol is significantly important both practically and scientifically for the reduction in CO2 emissions. Furthermore, it can partially address the issue of human reliance on non-renewable resources. The main motivation of this study is to use a melamine polymer network to support a copper-based catalyst for CO2 hydrogenation to methanol. Based on Schiff base chemistry, a facile catalyst-free process, a novel porous polyaminal polymer (MGPN) was prepared with nitrogen contents as high as 38%. MGPN was used as a support for Cu-based catalyst and applied in CO2 hydrogenation to CH3OH under mild conditions. A deep characterization of the MGPN@CuO/ZnO/Al2O3 catalyst was made through FTIR, N2 adsorption–desorption, SEM-EDS, TEM, TGA, XRD, CO2-TPD, and H2-TPR techniques. The CO2 hydrogenation study was performed in a fixed bed reactor with a residence time of 1.104 s on varying parameters such as the metal loading, catalyst amount, flow rate, pressure, calcination temperatures, reduction temperatures, and catalytic reaction temperature profile. The space-time yield (STY) of 145.43 mgmethanol·gcatalyst−1·h−1, a selectivity of 98.36%, and CO2 conversion of 11.76% were obtained under an economically and energetically sustainable low-pressure (1 MPa) and 260 °C hydrogenation process.

Authors

Institutions

Publication Details

Journal
Catalysts
Published
2026-02-05
DOI
https://doi.org/10.3390/catal16020170
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

CO2 Hydrogenation to Methanol over Novel Melamine-Based Polyaminal Porous Polymer Coordinated to Cu-Based Catalyst

Adriana Artola, Javier Moral-Vico, Laila S. A. Ali, Xavier Ponte Font et al.
Catalysts
Catalysts for Methane Reforming
article

CO2 Hydrogenation to Methanol over Novel Melamine-Based Polyaminal Porous Polymer Coordinated to Cu-Based Catalyst

Adriana Artola, Javier Moral-Vico, Laila S. A. Ali, Xavier Ponte Font, Ahmad Abo Markeb
article en

Abstract

The catalytic conversion of carbon dioxide to methanol is significantly important both practically and scientifically for the reduction in CO2 emissions. Furthermore, it can partially address the issue of human reliance on non-renewable resources. The main motivation of this study is to use a melamine polymer network to support a copper-based catalyst for CO2 hydrogenation to methanol. Based on Schiff base chemistry, a facile catalyst-free process, a novel porous polyaminal polymer (MGPN) was prepared with nitrogen contents as high as 38%. MGPN was used as a support for Cu-based catalyst and applied in CO2 hydrogenation to CH3OH under mild conditions. A deep characterization of the MGPN@CuO/ZnO/Al2O3 catalyst was made through FTIR, N2 adsorption–desorption, SEM-EDS, TEM, TGA, XRD, CO2-TPD, and H2-TPR techniques. The CO2 hydrogenation study was performed in a fixed bed reactor with a residence time of 1.104 s on varying parameters such as the metal loading, catalyst amount, flow rate, pressure, calcination temperatures, reduction temperatures, and catalytic reaction temperature profile. The space-time yield (STY) of 145.43 mgmethanol·gcatalyst−1·h−1, a selectivity of 98.36%, and CO2 conversion of 11.76% were obtained under an economically and energetically sustainable low-pressure (1 MPa) and 260 °C hydrogenation process.

CatalystsVol. 16(2)
Universitat Autònoma de Barcelona (ES), Assiut University (EG)
Ministerio de Ciencia e Innovación
Responsible consumption and production
Openalex Percentile: Top 66%
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.