The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Reticular Electronic Tuning of Porphyrin Active Sites in Covalent Organic Frameworks for Electrocatalytic Carbon Dioxide Reduction
Open accessAbstract
The electronic character of porphyrin active sites for electrocatalytic reduction of CO 2 to CO in a two-dimensional covalent organic framework (COF) was tuned by modification of the reticular structure. Efficient charge transport along the COF backbone promotes electronic connectivity between remote functional groups and the active sites and enables the modulation of the catalytic properties of the system. A series of oriented thin films of these COFs was found to reduce CO 2 to CO at low overpotential (550 mV) with high selectivity (faradaic efficiency of 87%) and at high current densities (65 mA/mg), a performance well beyond related molecular catalysts in regard to selectivity and efficiency. The catalysts are stable for more than 12 h without any loss in reactivity. X-ray absorption measurements on the cobalt L-edge for the modified COFs enable correlations between the inductive effects of the appended functionality and the electronic character of the reticulated molecular active sites.
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
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
Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2 Fixation
Appel, A. M., Bercaw, J. E., Bocarsly, A. B., Dobbek, H., DuBois, D. L., Dupuis, M., Ferry, J. G., Fujita, E., Hille, R., Kenis, P. J. A., et al. (2013) · Chemical Reviews · doi:10.1021/cr300463y · Cited by 2,193
Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3010978 · Cited by 2,000
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
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Nika : software for two-dimensional data reduction
Ilavsky, J. (2012) · Journal of Applied Crystallography · doi:10.1107/s0021889812004037 · Cited by 923
Cited by
Liu, R., Tan, K. T., Gong, Y., Chen, Y., Li, Z., Xie, S., He, T., Lu, Z., Yang, H., & Jiang, D. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00620c · Cited by 1,083
Wang, H., Zeng, Z., Xu, P., Li, L., Zeng, G., Xiao, R., Tang, Z., Huang, D., Tang, L., Lai, C., et al. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00376a · Cited by 804
Dong, J., Han, X., Liu, Y., Li, H., & Cui, Y. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202004796 · Cited by 561
Electrocatalytic reduction of carbon dioxide: opportunities with heterogeneous molecular catalysts
Sun, L., Reddu, V., Fisher, A. C., & Wang, X. (2020) · Energy & Environmental Science · doi:10.1039/c9ee03660a · Cited by 452
Wu, J., Sharifi, T., Gao, Y., Zhang, T., & Ajayan, P. M. (2019) · Advanced Materials · doi:10.1002/adma.201804257 · Cited by 325
Metadata
- Authors
- Diercks, C. S., Lin, S., Kornienko, N., Kapustin, E. A., Nichols, E. M., Zhu, C., Zhao, Y., Chang, C. J., & Yaghi, O. M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-01-16
- Volume
- 140
- Issue
- 3
- Pages
- 1116-1122
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2777278951
- Cited by
- 589
- References
- 6
- FWCI
- 14.02
- Type
- journal article
- Language
- en
- Open access
- green
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: Reticular Electronic Tuning of Porphyrin Active Sites in Covalent Organic Frameworks for Electrocatalytic Carbon Dioxide Reduction. https://app.cochat.ai/papers/10.1021/jacs.7b11940
- The paper
- Diercks, C. S., Lin, S., Kornienko, N., Kapustin, E. A., Nichols, E. M., Zhu, C., Zhao, Y., Chang, C. J., & Yaghi, O. M. (2018). Reticular Electronic Tuning of Porphyrin Active Sites in Covalent Organic Frameworks for Electrocatalytic Carbon Dioxide Reduction. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b11940
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.
