Mixed Perovskite Phases of BaTiO<sub>3</sub>/BaTi<sub>5</sub>O<sub>11</sub> for Efficient Electrochemical Reduction of CO<sub>2</sub> to CO
One of the most promising approaches in solving the energy crisis and reducing atmospheric CO<sub>2</sub> emissions is artificial photosynthetic CO<sub>2</sub> reduction. The electrochemical method for CO<sub>2</sub> reduction is more appealing since it can be operated under ambient conditions, and the product selectivity strongly depends on the applied potential. Perovskites with ferroelectric properties strongly adsorb linear CO<sub>2</sub> molecules. In this study, barium titanate (BaTiO<sub>3</sub>) perovskite is used as an electrocatalyst to promote CO<sub>2</sub> activation and conversion to CO. Perovskite catalysts were prepared by ball-milling followed by annealing at 900 °C for 4 to 6 h in an open atmosphere. The TEM and SEM study shows that the particle size varies in the range of 80-200 nm. Mixed phases of BaTiO<sub>3</sub> and BaTi<sub>5</sub>O<sub>11</sub> supported on nitrogen-doped carbon nanotubes are found to be highly active for electrocatalytic CO<sub>2</sub> reduction to CO with maximum Faradaic efficiency of 89.4 % at -1.0 V versus Ag/AgCl in CO<sub>2</sub> saturated 0.5 KOH solution. This study concludes that mixed phases of BaTiO<sub>3</sub> and BaTi<sub>5</sub>O<sub>11</sub> are more active and highly selective for CO<sub>2</sub> conversion to CO compared to single-phase BaTiO<sub>3</sub>.
Authors
- Phiralang Marbaniang (ORCID: https://orcid.org/0000-0002-0219-0405)
- Deep Lata Singh
- Sagar Ingavale (ORCID: https://orcid.org/0000-0002-5439-3941)
- Dilip Kumar Tiwari (ORCID: https://orcid.org/0000-0002-2305-9553)
- G. Ranga Rao (ORCID: https://orcid.org/0000-0002-2930-3756)
Institutions
- Indian Institute of Technology Madras (IN)
- SRM University (IN)
Publication Details
- Journal
- Chemistry - An Asian Journal
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1002/asia.202401017
- Citations
- 3
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.31
Funders
- Indian Institute of Technology Madras