Computational investigation of CO2 hydrogenation and electrochemical reduction to formic acid and methanol using chalcogen-doped nitrogen-graphene nanoflake as a metal-free catalyst

Clean fuel production and pollutant removal are critical industrial challenges. This study presents a model for CO<sub>2</sub> adsorption, focusing on non-metallic, biocompatible catalysts. We demonstrate the potential of chalcogen-doped graphene nanoflake modified with pyridinic nitrogen atoms as biocompatible catalysts for hydrogenating CO<sub>2</sub> to formic acid and methanol. Using dispersion-corrected density functional theory, the catalytic hydrogenation and electrochemical reduction of CO<sub>2</sub> over single chalcogen atoms (Se, Te) embedded in nitrogen-doped graphene nanoflake were analyzed. High hybridization between Se/Te and N states near the Fermi level stabilizes the chalcogen atoms on the graphene nanoflake. Se-doped nitrogen-containing graphene nanoflake exhibits lower energy barriers and higher catalytic performance than Te, facilitating CO<sub>2</sub> conversion to formic acid and methanol with improved stability. Migration barriers, electronic structures, and adsorption energies highlight Se-doped nitrogen-containing graphene nanoflake as an efficient catalyst for CO<sub>2</sub> hydrogenation and electrochemical reduction at room temperature. In particular, Se doping not only stabilizes the material but also improves catalytic performance for the selective production of CO/CH<sub>3</sub>OH. This work introduces Se-doped nitrogen-containing graphene nanoflake as a promising non-metal biocompatible catalyst.

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Publication Details

Journal
Scientific Reports
Published
2025-10-29
DOI
https://doi.org/10.1038/s41598-025-21717-9
Citations
1
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.36

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article

Computational investigation of CO2 hydrogenation and electrochemical reduction to formic acid and methanol using chalcogen-doped nitrogen-graphene nanoflake as a metal-free catalyst

Mahmood Akbari, Mohammad Vakili, Razieh Morad, Ramesh Kheirabadi et al.
1 citations
Scientific Reports
CO2 Reduction Techniques and Catalysts
0.36
article

Computational investigation of CO2 hydrogenation and electrochemical reduction to formic acid and methanol using chalcogen-doped nitrogen-graphene nanoflake as a metal-free catalyst

Mahmood Akbari, Mohammad Vakili, Razieh Morad, Ramesh Kheirabadi, M. Mâaza
article en
1 citations

Abstract

Clean fuel production and pollutant removal are critical industrial challenges. This study presents a model for CO<sub>2</sub> adsorption, focusing on non-metallic, biocompatible catalysts. We demonstrate the potential of chalcogen-doped graphene nanoflake modified with pyridinic nitrogen atoms as biocompatible catalysts for hydrogenating CO<sub>2</sub> to formic acid and methanol. Using dispersion-corrected density functional theory, the catalytic hydrogenation and electrochemical reduction of CO<sub>2</sub> over single chalcogen atoms (Se, Te) embedded in nitrogen-doped graphene nanoflake were analyzed. High hybridization between Se/Te and N states near the Fermi level stabilizes the chalcogen atoms on the graphene nanoflake. Se-doped nitrogen-containing graphene nanoflake exhibits lower energy barriers and higher catalytic performance than Te, facilitating CO<sub>2</sub> conversion to formic acid and methanol with improved stability. Migration barriers, electronic structures, and adsorption energies highlight Se-doped nitrogen-containing graphene nanoflake as an efficient catalyst for CO<sub>2</sub> hydrogenation and electrochemical reduction at room temperature. In particular, Se doping not only stabilizes the material but also improves catalytic performance for the selective production of CO/CH<sub>3</sub>OH. This work introduces Se-doped nitrogen-containing graphene nanoflake as a promising non-metal biocompatible catalyst.

Scientific ReportsVol. 15(1)
University of South Africa (ZA), Ferdowsi University of Mashhad (IR)
National Science Foundation, Ferdowsi University of Mashhad, Iran National Science Foundation, Center for High Performance Computing
Openalex Percentile: Top 37%
CO2 Reduction Techniques and Catalysts
0.36
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