The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Operando time-resolved X-ray absorption spectroscopy reveals the chemical nature enabling highly selective CO2 reduction
Open accessAbstract
Copper electrocatalysts have been shown to selectively reduce carbon dioxide to hydrocarbons. Nevertheless, the absence of a systematic study based on time-resolved spectroscopy renders the functional agent—either metallic or oxidative Copper—for the selectivity still undecidable. Herein, we develop an operando seconds-resolved X-ray absorption spectroscopy to uncover the chemical state evolution of working catalysts. An oxide-derived Copper electrocatalyst is employed as a model catalyst to offer scientific insights into the roles metal states serve in carbon dioxide reduction reaction (CO 2 RR). Using a potential switching approach, the model catalyst can achieve a steady chemical state of half-Cu(0)-and-half-Cu(I) and selectively produce asymmetric C 2 products - C 2 H 5 OH. Furthermore, a theoretical analysis reveals that a surface composed of Cu-Cu(I) ensembles can have dual carbon monoxide molecules coupled asymmetrically, which potentially enhances the catalyst’s CO 2 RR product selectivity toward C 2 products. Our results offer understandings of the fundamental chemical states and insights to the establishment of selective CO 2 RR.
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
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Fast Parallel Algorithms for Short-Range Molecular Dynamics
Plimpton, S. (1995) · Journal of Computational Physics · doi:10.1006/jcph.1995.1039 · Cited by 44,721
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
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
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
General Techno-Economic Analysis of CO 2 Electrolysis Systems
Jouny, M., Luc, W., & Jiao, F. (2018) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.7b03514 · Cited by 1,628
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Highly selective plasma-activated copper catalysts for carbon dioxide reduction to ethylene
Mistry, H., Varela, A. S., Bonifacio, C. S., Zegkinoglou, I., Sinev, I., Choi, Y.-W., Kisslinger, K., Stach, E. A., Yang, J. C., Strasser, P., et al. (2016) · Nature Communications · doi:10.1038/ncomms12123 · Cited by 1,214
Cited by
Zhao, Y., Adiyeri Saseendran, D. P., Huang, C., Triana, C. A., Marks, W. R., Chen, H., Zhao, H., & Patzke, G. R. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00515 · Cited by 802
Self-citationChang, B., Pang, H., Raziq, F., Wang, S., Huang, K.-W., Ye, J., & Zhang, H. (2023) · Energy & Environmental Science · doi:10.1039/d3ee00964e · Cited by 458
Steering the structure and selectivity of CO2 electroreduction catalysts by potential pulses
Timoshenko, J., Bergmann, A., Rettenmaier, C., Herzog, A., Arán-Ais, R. M., Jeon, H. S., Haase, F. T., Hejral, U., Grosse, P., Kühl, S., et al. (2022) · Nature Catalysis · doi:10.1038/s41929-022-00760-z · Cited by 435
Coordination Number Regulation of Molybdenum Single-Atom Nanozyme Peroxidase-like Specificity
Wang, Y., Jia, G., Cui, X., Zhao, X., Zhang, Q., Gu, L., Zheng, L., Li, L. H., Wu, Q., Singh, D. J., et al. (2021) · Chem · doi:10.1016/j.chempr.2020.10.023 · Cited by 417
Atomic Metal–Support Interaction Enables Reconstruction-Free Dual-Site Electrocatalyst
Sun, H., Tung, C.-W., Qiu, Y., Zhang, W., Wang, Q., Li, Z., Tang, J., Chen, H.-C., Wang, C., & Chen, H. M. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.1c08890 · Cited by 369
Self-citation
Metadata
- Authors
- Lin, S.-C., Chang, C.-C., Chiu, S.-Y., Pai, H.-T., Liao, T.-Y., Hsu, C.-S., Chiang, W.-H., Tsai, M.-K., & Chen, H. M.
- Venue
- Nature Communications
- Published
- 2020-07-14
- Volume
- 11
- Issue
- 1
- Pages
- 3525-3525
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3043574720
- Cited by
- 457
- References
- 15
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- gold
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: Operando time-resolved X-ray absorption spectroscopy reveals the chemical nature enabling highly selective CO2 reduction. https://app.cochat.ai/papers/10.1038/s41467-020-17231-3
- The paper
- Lin, S.-C., Chang, C.-C., Chiu, S.-Y., Pai, H.-T., Liao, T.-Y., Hsu, C.-S., Chiang, W.-H., Tsai, M.-K., & Chen, H. M. (2020). Operando time-resolved X-ray absorption spectroscopy reveals the chemical nature enabling highly selective CO2 reduction. Nature Communications. https://doi.org/10.1038/s41467-020-17231-3
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.
