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.
Authors
- Mahmood Akbari (ORCID: https://orcid.org/0000-0003-1875-2721)
- Mohammad Vakili
- Razieh Morad (ORCID: https://orcid.org/0000-0002-1475-0422)
- Ramesh Kheirabadi
- M. Mâaza (ORCID: https://orcid.org/0000-0003-3429-509X)
Institutions
- University of South Africa (ZA)
- Ferdowsi University of Mashhad (IR)
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
Funders
- National Science Foundation
- Ferdowsi University of Mashhad
- Iran National Science Foundation
- Center for High Performance Computing