The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Structure-Sensitive CO2 Electroreduction to Hydrocarbons on Ultrathin 5-fold Twinned Copper Nanowires
Abstract
Copper is uniquely active for the electrocatalytic reduction of carbon dioxide (CO 2 ) to products beyond carbon monoxide, such as methane (CH 4 ) and ethylene (C 2 H 4 ). Therefore, understanding selectivity trends for CO 2 electrocatalysis on copper surfaces is critical for developing more efficient catalysts for CO 2 conversion to higher order products. Herein, we investigate the electrocatalytic activity of ultrathin (diameter ∼20 nm) 5-fold twinned copper nanowires (Cu NWs) for CO 2 reduction. These Cu NW catalysts were found to exhibit high CH 4 selectivity over other carbon products, reaching 55% Faradaic efficiency (FE) at −1.25 V versus reversible hydrogen electrode while other products were produced with less than 5% FE. This selectivity was found to be sensitive to morphological changes in the nanowire catalyst observed over the course of electrolysis. Wrapping the wires with graphene oxide was found to be a successful strategy for preserving both the morphology and reaction selectivity of the Cu NWs. These results suggest that product selectivity on Cu NWs is highly dependent on morphological features and that hydrocarbon selectivity can be manipulated by structural evolution or the prevention thereof.
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
Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide
Stankovich, S., Dikin, D. A., Piner, R. D., Kohlhaas, K. A., Kleinhammes, A., Jia, Y., Wu, Y., Nguyen, S. T., & Ruoff, R. S. (2007) · Carbon · doi:10.1016/j.carbon.2007.02.034 · Cited by 13,878
Modern Aspects of Electrochemistry
(2002) · Modern Aspects of Electrochemistry · doi:10.1007/b114168 · Cited by 5,949
New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces
Kuhl, K. P., Cave, E. R., Abram, D. N., & Jaramillo, T. F. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21234j · Cited by 3,160
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
Kondratenko, E. V., Mul, G., Baltrusaitis, J., Larrazábal, G. O., & Pérez-Ramírez, J. (2013) · Energy & Environmental Science · doi:10.1039/c3ee41272e · Cited by 1,802
Light-Driven Heterogeneous Reduction of Carbon Dioxide: Photocatalysts and Photoelectrodes
White, J. L., Baruch, M. F., Pander, J. E., Hu, Y., Fortmeyer, I. C., Park, J. E., Zhang, T., Liao, K., Gu, J., Yan, Y., et al. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00370 · Cited by 1,673
Aqueous CO2 Reduction at Very Low Overpotential on Oxide-Derived Au Nanoparticles
Chen, Y., Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja309317u · Cited by 1,664
Electrocatalytic Conversion of Carbon Dioxide to Methane and Methanol on Transition Metal Surfaces
Kuhl, K. P., Hatsukade, T., Cave, E. R., Abram, D. N., Kibsgaard, J., & Jaramillo, T. F. (2014) · Journal of the American Chemical Society · doi:10.1021/ja505791r · Cited by 1,649
Ionic Liquid–Mediated Selective Conversion of CO 2 to CO at Low Overpotentials
Rosen, B. A., Salehi-Khojin, A., Thorson, M. R., Zhu, W., Whipple, D. T., Kenis, P. J. A., & Masel, R. I. (2011) · Science · doi:10.1126/science.1209786 · Cited by 1,558
Cited by
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
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
Accelerated discovery of CO2 electrocatalysts using active machine learning
Zhong, M., Tran, K., Min, Y., Wang, C., Wang, Z., Dinh, C.-T., De Luna, P., Yu, Z., Rasouli, A. S., Brodersen, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2242-8 · Cited by 1,531
Designing materials for electrochemical carbon dioxide recycling
Ross, M. B., De Luna, P., Li, Y., Dinh, C.-T., Kim, D., Yang, P., & Sargent, E. H. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0306-7 · Cited by 1,302
Self-citationDe Luna, P., Quintero-Bermudez, R., Dinh, C.-T., Ross, M. B., Bushuyev, O. S., Todorović, P., Regier, T., Kelley, S. O., Yang, P., & Sargent, E. H. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0018-9 · Cited by 1,046
Self-citation
Metadata
- Authors
- Li, Y., Cui, F., Ross, M. B., Kim, D., Sun, Y., & Yang, P.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-01-24
- Volume
- 17
- Issue
- 2
- Pages
- 1312-1317
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2573313258
- Cited by
- 466
- References
- 32
- FWCI
- 14.37
- 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: Structure-Sensitive CO2 Electroreduction to Hydrocarbons on Ultrathin 5-fold Twinned Copper Nanowires. https://app.cochat.ai/papers/10.1021/acs.nanolett.6b05287
- The paper
- Li, Y., Cui, F., Ross, M. B., Kim, D., Sun, Y., & Yang, P. (2017). Structure-Sensitive CO2 Electroreduction to Hydrocarbons on Ultrathin 5-fold Twinned Copper Nanowires. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b05287
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.