Nitrate-to-Ammonia Conversion at an InSn-Enriched Liquid-Metal Electrode
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Description
The renewable energy driven electrochemical conversion of nitrates to ammonia is emerging as a viable route for the creation of this hydrogen carrier. However, the creation of highly efficient electrocatalysts that show prolonged stability is an ongoing challenge. Here we show that room temperature liquid metal Galinstan can be used as an efficient and stable electrocatalyst for nitrate conversion to ammonia achieving rates of up to 2335 μg h−1 cm−2 with a Faradaic efficiency of 100 %. Density functional theory (DFT) calculations and experimental observation indicated the activity is due to InSn alloy enrichment within the liquid metal that occurs during the electrocatalytic reaction. This high selectivity for NH3 is also due to additional suppression of the competing hydrogen evolution reaction at the identified In3Sn active site. This work adds to the increasing applicability of liquid metals based on Ga for clean energy technologies.
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| ID Code: | 231163 | ||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||
| Refereed: | Yes | ||||
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| Additional Information: | Funding Information: The XPS and SEM data reported in this work were obtained at the Central Analytical Research Facility, QUT. AOM acknowledges support from the Australian Research Council (DP180102869). Open access publishing facilitated by Queensland University of Technology, as part of the Wiley ‐ Queensland University of Technology agreement via the Council of Australian University Librarians. | ||||
| Measurements or Duration: | 5 pages | ||||
| Keywords: | Ammonia Synthesis, Density Functional Calculations, Electrocatalysis, Liquid Metal, Nitrate Reduction | ||||
| DOI: | 10.1002/anie.202201604 | ||||
| ISSN: | 1433-7851 | ||||
| Pure ID: | 110181607 | ||||
| Divisions: | Current > Research Centres > Centre for Materials Science Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Chemistry & Physics |
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| Funding Information: | The XPS and SEM data reported in this work were obtained at the Central Analytical Research Facility, QUT. AOM acknowledges support from the Australian Research Council (DP180102869). Open access publishing facilitated by Queensland University of Technology, as part of the Wiley ‐ Queensland University of Technology agreement via the Council of Australian University Librarians. | ||||
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| Copyright Owner: | 2022 The Authors | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 20 May 2022 01:40 | ||||
| Last Modified: | 27 Jul 2024 22:08 |
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