Photothermal Reduction of Carbon Dioxide Using Magnetite Photocatalyst

One promising approach to achieving sustainable energy while simultaneously addressing various environmental issues is to utilize solar-driven transformation of the greenhouse gas CO2 into valuable chemical fuels. The main obstacle in achieving this goal has consistently been the identification of cost-effective, stable, and non-toxic photoactive materials that can efficiently convert CO2 into chemical fuels. Photothermal catalysis offers a viable solution to address the challenges related to sunlight absorption and low quantum efficiency often encountered in conventional photocatalysts. In this study, we used a magnetite catalyst for the photothermal reduction of CO2. Various characterization techniques, including PXRD, TEM, and XPS, were employed to confirm the catalyst phase, crystallinity, particle size, and the electronic structure of the magnetite catalyst. The results of the photothermal conversion of carbon dioxide revealed that carbon monoxide was the only product, with a selectivity of 100%. Furthermore, the Fe3O4 catalyst produced significantly higher CO under high-intensity illumination (2076 μmolgcat−1h−1) than in the dark (820 μmolgcat−1h−1) under the same temperature of 315 °C. The activation energy obtained for the tests conducted under high-intensity illumination was lower than that obtained in the dark. The use of photothermal catalysts such as Fe3O4 to drive useful chemical reactions such as CO2 conversion to useful products contributes to advancing the field of sustainable energy and marks a significant stride toward realizing real solutions for mitigating climate change.

Authors

Institutions

Publication Details

Published
2024-11-28
DOI
https://doi.org/10.3390/engproc2024076091
Citations
1
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photothermal Reduction of Carbon Dioxide Using Magnetite Photocatalyst

Doug D. Perovic, Feysal M. Ali, Hussameldin Ibrahim, Geoffrey A. Ozin
1 citations
Advanced Photocatalysis Techniques
0.10
article

Photothermal Reduction of Carbon Dioxide Using Magnetite Photocatalyst

Doug D. Perovic, Feysal M. Ali, Hussameldin Ibrahim, Geoffrey A. Ozin
article en
1 citations

Abstract

One promising approach to achieving sustainable energy while simultaneously addressing various environmental issues is to utilize solar-driven transformation of the greenhouse gas CO2 into valuable chemical fuels. The main obstacle in achieving this goal has consistently been the identification of cost-effective, stable, and non-toxic photoactive materials that can efficiently convert CO2 into chemical fuels. Photothermal catalysis offers a viable solution to address the challenges related to sunlight absorption and low quantum efficiency often encountered in conventional photocatalysts. In this study, we used a magnetite catalyst for the photothermal reduction of CO2. Various characterization techniques, including PXRD, TEM, and XPS, were employed to confirm the catalyst phase, crystallinity, particle size, and the electronic structure of the magnetite catalyst. The results of the photothermal conversion of carbon dioxide revealed that carbon monoxide was the only product, with a selectivity of 100%. Furthermore, the Fe3O4 catalyst produced significantly higher CO under high-intensity illumination (2076 μmolgcat−1h−1) than in the dark (820 μmolgcat−1h−1) under the same temperature of 315 °C. The activation energy obtained for the tests conducted under high-intensity illumination was lower than that obtained in the dark. The use of photothermal catalysts such as Fe3O4 to drive useful chemical reactions such as CO2 conversion to useful products contributes to advancing the field of sustainable energy and marks a significant stride toward realizing real solutions for mitigating climate change.

University of Toronto (CA), University of Regina (CA)
Openalex Percentile: Top 63%
Advanced Photocatalysis Techniques
0.10
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.