The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Sub-nm RuOx Clusters on Pd Metallene for Synergistically Enhanced Nitrate Electroreduction to Ammonia
Abstract
The electrochemical nitrate reduction to ammonia reaction (NO 3 RR) has emerged as an appealing route for achieving both wastewater treatment and ammonia production. Herein, sub-nm RuO x clusters anchored on a Pd metallene (RuO x /Pd) are reported as a highly effective NO 3 RR catalyst, delivering a maximum NH 3 -Faradaic efficiency of 98.6% with a corresponding NH 3 yield rate of 23.5 mg h –1 cm –2 and partial a current density of 296.3 mA cm –2 at −0.5 V vs RHE. Operando spectroscopic characterizations combined with theoretical computations unveil the synergy of RuO x and Pd to enhance the NO 3 RR energetics through a mechanism of hydrogen spillover and hydrogen-bond interactions. In detail, RuO x activates NO 3 – to form intermediates, while Pd dissociates H 2 O to generate *H, which spontaneously migrates to the RuO x /Pd interface via a hydrogen spillover process. Further hydrogen-bond interactions between spillovered *H and intermediates makes spillovered *H desorb from the RuO x /Pd interface and participate in the intermediate hydrogenation, contributing to the enhanced activity of RuO x /Pd for NO 3 – -to-NH 3 conversion.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PdMo bimetallene for oxygen reduction catalysis
Luo, M., Zhao, Z., Zhang, Y., Sun, Y., Xing, Y., Lv, F., Yang, Y., Zhang, X., Hwang, S., Qin, Y., et al. (2019) · Nature · doi:10.1038/s41586-019-1603-7 · Cited by 1,461
Electrocatalytic Nitrate Reduction for Sustainable Ammonia Production
van Langevelde, P. H., Katsounaros, I., & Koper, M. T. M. (2021) · Joule · doi:10.1016/j.joule.2020.12.025 · Cited by 1,378
Recent Advances and Challenges of Electrocatalytic N2Reduction to Ammonia
Qing, G., Ghazfar, R., Jackowski, S. T., Habibzadeh, F., Ashtiani, M. M., Chen, C.-P., Smith, M. R., & Hamann, T. W. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00659 · Cited by 1,323
Wang, Y., Wang, C., Li, M., Yu, Y., & Zhang, B. (2021) · Chemical Society Reviews · doi:10.1039/d1cs00116g · Cited by 1,313
Chen, F.-Y., Wu, Z.-Y., Gupta, S., Rivera, D. J., Lambeets, S. V., Pecaut, S., Kim, J. Y. T., Zhu, P., Finfrock, Y. Z., Meira, D. M., et al. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01121-4 · Cited by 1,171
Electrocatalytic reduction of nitrate – a step towards a sustainable nitrogen cycle
Xu, H., Ma, Y., Chen, J., Zhang, W.-X., & Yang, J. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00857a · Cited by 1,160
Efficient Ammonia Electrosynthesis from Nitrate on Strained Ruthenium Nanoclusters
Li, J., Zhan, G., Yang, J., Quan, F., Mao, C., Liu, Y., Wang, B., Lei, F., Li, L., Chan, A. W. M., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c00418 · Cited by 1,108
Recent advances in non-noble metal electrocatalysts for nitrate reduction
Zhang, X., Wang, Y., Liu, C., Yu, Y., Lu, S., & Zhang, B. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.126269 · Cited by 684
A fundamental viewpoint on the hydrogen spillover phenomenon of electrocatalytic hydrogen evolution
Li, J., Hu, J., Zhang, M., Gou, W., Zhang, S., Chen, Z., Qu, Y., & Ma, Y. (2021) · Nature Communications · doi:10.1038/s41467-021-23750-4 · Cited by 633
Liu, H., Lang, X., Zhu, C., Timoshenko, J., Rüscher, M., Bai, L., Guijarro, N., Yin, H., Peng, Y., Li, J., et al. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202202556 · Cited by 596
Cited by
Phu, T. K. C., Hong, W. T., Han, H., Song, Y. I., Kim, J. H., Roh, S. H., Kim, M.-C., Koh, J. H., Oh, B.-K., Kim, J. Y., et al. (2024) · Materials Today · doi:10.1016/j.mattod.2024.05.007 · Cited by 22
Metadata
- Authors
- Li, X., Shen, P., Li, X., Ma, D., & Chu, K.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2023-01-11
- Volume
- 17
- Issue
- 2
- Pages
- 1081-1090
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4315631276
- Cited by
- 369
- References
- 49
- FWCI
- 17.14
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sub-nm RuOx Clusters on Pd Metallene for Synergistically Enhanced Nitrate Electroreduction to Ammonia. https://app.cochat.ai/papers/10.1021/acsnano.2c07911
- The paper
- Li, X., Shen, P., Li, X., Ma, D., & Chu, K. (2023). Sub-nm RuOx Clusters on Pd Metallene for Synergistically Enhanced Nitrate Electroreduction to Ammonia. ACS Nano. https://doi.org/10.1021/acsnano.2c07911
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
