The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
High‐Rate and Selective CO2 Electrolysis to Ethylene via Metal–Organic‐Framework‐Augmented CO2 Availability
Abstract
High‐rate conversion of carbon dioxide (CO 2) to ethylene (C 2 H 4) in the CO 2 reduction reaction (CO 2 RR) requires fine control over the phase boundary of the gas diffusion electrode (GDE) to overcome the limit of CO 2 solubility in aqueous electrolytes. Here, a metal–organic framework (MOF)‐functionalized GDE design is presented, based on a catalysts:MOFs:hydrophobic substrate materials layered architecture, that leads to high‐rate and selective C 2 H 4 production in flow cells and membrane electrode assembly (MEA) electrolyzers. It is found that using electroanalysis and operando X‐ray absorption spectroscopy (XAS), MOF‐induced organic layers in GDEs augment the local CO 2 concentration near the active sites of the Cu catalysts. MOFs with different CO 2 adsorption abilities are used, and the stacking ordering of MOFs in the GDE is varied. While sputtering Cu on poly(tetrafluoroethylene) (PTFE) (Cu/PTFE) exhibits 43% C 2 H 4 Faradaic efficiency (FE) at a current density of 200 mA cm−2 in a flow cell, 49% C 2 H 4 FE at 1 A cm−2 is achieved on MOF‐augmented GDEs in CO 2 RR. MOF‐augmented GDEs are further evaluated in an MEA electrolyzer, achieving a C 2 H 4 partial current density of 220 mA cm−2 for CO 2 RR and 121 mA cm−2 for the carbon monoxide reduction reaction (CORR), representing 2.7‐fold and 15‐fold improvement in C 2 H 4 production rate, compared to those obtained on bare Cu/PTFE.
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
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
Self-citationCO 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
Self-citationGeneral 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
CO 2 electrolysis to multicarbon products at activities greater than 1 A cm −2
García de Arquer, F. P., Dinh, C.-T., Ozden, A., Wicks, J., McCallum, C., Kirmani, A. R., Nam, D.-H., Gabardo, C., Seifitokaldani, A., Wang, X., et al. (2020) · Science · doi:10.1126/science.aay4217 · Cited by 1,517
Self-citationKibria, M. G., Edwards, J. P., Gabardo, C. M., Dinh, C., Seifitokaldani, A., Sinton, D., & Sargent, E. H. (2019) · Advanced Materials · doi:10.1002/adma.201807166 · Cited by 1,331
Self-citationYounas, M., Rezakazemi, M., Daud, M., Wazir, M. B., Ahmad, S., Ullah, N., Inamuddin, & Ramakrishna, S. (2020) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2020.100849 · Cited by 421
Cited by
Chang, 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
Yan, T., Chen, X., Kumari, L., Lin, J., Li, M., Fan, Q., Chi, H., Meyer, T. J., Zhang, S., & Ma, X. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00514 · Cited by 328
Engineering Cu(I)/Cu(0) interfaces for efficient ethanol production from CO2 electroreduction
Cai, R., Sun, M., Yang, F., Ju, M., Chen, Y., Gu, M. D., Huang, B., & Yang, S. (2024) · Chem · doi:10.1016/j.chempr.2023.08.027 · Cited by 142
Metadata
- Authors
- Nam, D., Shekhah, O., Ozden, A., McCallum, C., Li, F., Wang, X., Lum, Y., Lee, T., Li, J., Wicks, J., Johnston, A., Sinton, D., Eddaoudi, M., & Sargent, E. H.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2022-11-16
- Volume
- 34
- Issue
- 51
- Pages
- e2207088-e2207088
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4306391014
- Cited by
- 172
- References
- 7
- FWCI
- 6.18
- 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: High‐Rate and Selective CO2 Electrolysis to Ethylene via Metal–Organic‐Framework‐Augmented CO2 Availability. https://app.cochat.ai/papers/10.1002/adma.202207088
- The paper
- Nam, D., Shekhah, O., Ozden, A., McCallum, C., Li, F., Wang, X., Lum, Y., Lee, T., Li, J., Wicks, J., Johnston, A., Sinton, D., Eddaoudi, M., & Sargent, E. H. (2022). High‐Rate and Selective CO2 Electrolysis to Ethylene via Metal–Organic‐Framework‐Augmented CO2 Availability. Advanced Materials. https://doi.org/10.1002/adma.202207088
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.