The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Powering denitrification: the perspectives of electrocatalytic nitrate reduction
Abstract
Imbalances in the nitrogen cycle caused by human activities (combustion, fertiliser-intensive agriculture) have resulted in alarmingly increased levels of nitrate in groundwater and other water bodies, with potentially health-threatening consequences. The electrocatalytic removal of nitrate from polluted water is a promising alternative to bacterial denitrification, provided that full selectivity to harmless N2, which can be returned to the atmosphere, is achieved. This perspective article discusses the state-of-the-art of research on electrocatalytic denitrification, critically evaluating the obstacles still hampering large-scale application of this technique. The milestones of fundamental research focussing on the cathode reaction will first be dealt with, followed by their translation into electrochemical reactors of practical interest. Finally, a short foray into the novel field of bioelectrochemical reactors will close the article. Challenges and opportunities pertaining to these three topics will be analysed.
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Wang, Y., Xu, A., Wang, Z., Huang, L., Li, J., Li, F., Wicks, J., Luo, M., Nam, D.-H., Tan, C.-S., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.9b13347 · Cited by 1,380
Electrocatalytic Nitrate Reduction for Sustainable Ammonia Production
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Self-citationElectrochemical Reduction of Gaseous Nitrogen Oxides on Transition Metals at Ambient Conditions
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Metadata
- Authors
- Duca, M., & Koper, M. T. M.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 5
- Issue
- 12
- Pages
- 9726
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2147592121
- Cited by
- 699
- References
- 104
- FWCI
- 7.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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