The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Te-Doped Pd Nanocrystal for Electrochemical Urea Production by Efficiently Coupling Carbon Dioxide Reduction with Nitrite Reduction
Abstract
The renewable electricity-driven reduction of carbon dioxide (CO 2 RR) is a promising technology for carbon utilization. However, it is still a challenge to broaden the application of CO 2 RR. Herein, we report a Te-doped Pd nanocrystals (Te–Pd NCs) for promoting urea synthesis by coupling CO 2 RR with electrochemical reduction of nitrite. The electrochemical synthesis of urea has been achieved with nearly 12.2% Faraday efficiency (FE) and 88.7% N atom efficiency (NE) at −1.1 V versus reversible hydrogen electrode (vs RHE), much higher than those of pure Pd NCs (4.2% FE and 21.8% NE). Significantly, an FE of ∼10.2% and an NE of ∼82.3% for urea solution production via an optimized flow cell system have been realized, where a solution with up to 0.95 wt % of urea has been obtained. Mechanistic insights show that Te-doping not only optimizes the CO 2 /CO adsorption but also promotes NH 3 production, fully meeting the requirements of urea synthesis.
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
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
Aresta, M., Dibenedetto, A., & Angelini, A. (2014) · Chemical Reviews · doi:10.1021/cr4002758 · Cited by 3,143
What would it take for renewably powered electrosynthesis to displace petrochemical processes?
De Luna, P., Hahn, C., Higgins, D., Jaffer, S. A., Jaramillo, T. F., & Sargent, E. H. (2019) · Science · doi:10.1126/science.aav3506 · Cited by 3,052
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
Atomically dispersed Fe 3+ sites catalyze efficient CO 2 electroreduction to CO
Gu, J., Hsu, C.-S., Bai, L., Chen, H. M., & Hu, X. (2019) · Science · doi:10.1126/science.aaw7515 · Cited by 1,610
Rational catalyst and electrolyte design for CO2 electroreduction towards multicarbon products
Gao, D., Arán-Ais, R. M., Jeon, H. S., & Roldan Cuenya, B. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0235-5 · Cited by 1,489
Coupling N2 and CO2 in H2O to synthesize urea under ambient conditions
Chen, C., Zhu, X., Wen, X., Zhou, Y., Zhou, L., Li, H., Tao, L., Li, Q., Du, S., Liu, T., et al. (2020) · Nature Chemistry · doi:10.1038/s41557-020-0481-9 · Cited by 1,087
Electrolytic CO2 Reduction in a Flow Cell
Weekes, D. M., Salvatore, D. A., Reyes, A., Huang, A., & Berlinguette, C. P. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00010 · Cited by 1,067
Mechanism of CO2 Reduction at Copper Surfaces: Pathways to C2 Products
Garza, A. J., Bell, A. T., & Head-Gordon, M. (2018) · ACS Catalysis · doi:10.1021/acscatal.7b03477 · Cited by 941
Cited by
Ambient Electrosynthesis of Urea with Nitrate and Carbon Dioxide over Iron‐Based Dual‐Sites
Geng, J., Ji, S., Jin, M., Zhang, C., Xu, M., Wang, G., Liang, C., & Zhang, H. (2023) · Angewandte Chemie International Edition · doi:10.1002/anie.202210958 · Cited by 319
Metadata
- Authors
- Feng, Y., Yang, H., Zhang, Y., Huang, X., Li, L., Cheng, T., & Shao, Q.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-10-14
- Volume
- 20
- Issue
- 11
- Pages
- 8282-8289
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W3092836904
- Cited by
- 396
- References
- 30
- FWCI
- 8.24
- 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: Te-Doped Pd Nanocrystal for Electrochemical Urea Production by Efficiently Coupling Carbon Dioxide Reduction with Nitrite Reduction. https://app.cochat.ai/papers/10.1021/acs.nanolett.0c03400
- The paper
- Feng, Y., Yang, H., Zhang, Y., Huang, X., Li, L., Cheng, T., & Shao, Q. (2020). Te-Doped Pd Nanocrystal for Electrochemical Urea Production by Efficiently Coupling Carbon Dioxide Reduction with Nitrite Reduction. Nano Letters. https://doi.org/10.1021/acs.nanolett.0c03400
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.