The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Electroreduction of CO2 to CO on a Mesoporous Carbon Catalyst with Progressively Removed Nitrogen Moieties
Abstract
In this study, we prepared nitrogen-removed mesoporous carbon (NRMC) catalysts by applying various heat treatments to nitrogen-doped mesoporous carbon (NMC), which were applied as novel electrocatalysts for CO 2 reduction reaction (CO 2 RR). With the nitrogen moieties being progressively removed, the NRMC catalysts exhibited enhanced CO generation from CO 2 RR, whereas the competing hydrogen evolution reaction (HER) has been suppressed. Through suitable annealing treatment, the defect-rich NRMC catalyst is able to convert CO 2 to CO with a Faradaic efficiency (FE CO ) of ∼80% and a partial current density for CO ( j CO ) of −2.9 mA cm –2 at an applied overpotential of 490 mV. Density functional theory (DFT) calculations further revealed the active sites within NRMC catalysts were the defects generated by N removal, which lowered the energy barriers for CO 2 RR and will not be passivated by hydrogen. These findings provide design guidelines to develop efficient carbon-based catalysts that can display metal-like, and even better, performances for potential scalable CO 2 RR to fuels and chemicals.
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
How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
Activity Descriptors for CO 2 Electroreduction to Methane on Transition-Metal Catalysts
Peterson, A. A., & Nørskov, J. K. (2012) · The Journal of Physical Chemistry Letters · doi:10.1021/jz201461p · Cited by 1,667
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
Achieving Highly Efficient, Selective, and Stable CO2 Reduction on Nitrogen-Doped Carbon Nanotubes
Wu, J., Yadav, R. M., Liu, M., Sharma, P. P., Tiwary, C. S., Ma, L., Zou, X., Zhou, X.-D., Yakobson, B. I., Lou, J., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b01079 · Cited by 652
Wu, J., Liu, M., Sharma, P. P., Yadav, R. M., Ma, L., Yang, Y., Zou, X., Zhou, X.-D., Vajtai, R., Yakobson, B. I., et al. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b04123 · Cited by 520
Cited by
Defect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
Wang, Q., Lei, Y., Wang, D., & Li, Y. (2019) · Energy & Environmental Science · doi:10.1039/c8ee03781g · Cited by 574
A Graphene‐Supported Single‐Atom FeN5 Catalytic Site for Efficient Electrochemical CO2 Reduction
Zhang, H., Li, J., Xi, S., Du, Y., Hai, X., Wang, J., Xu, H., Wu, G., Zhang, J., Lu, J., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201906079 · Cited by 490
Defect engineering of two-dimensional materials for advanced energy conversion and storage
Liu, F., & Fan, Z. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00931e · Cited by 417
Direct insights into the role of epoxy groups on cobalt sites for acidic H2O2 production
Zhang, Q., Tan, X., Bedford, N. M., Han, Z., Thomsen, L., Smith, S., Amal, R., & Lu, X. (2020) · Nature Communications · doi:10.1038/s41467-020-17782-5 · Cited by 369
Self-citation
Metadata
- Authors
- Daiyan, R., Tan, X., Chen, R., Saputera, W. H., Tahini, H. A., Lovell, E., Ng, Y. H., Smith, S. C., Dai, L., Lu, X., & Amal, R.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-08-30
- Volume
- 3
- Issue
- 9
- Pages
- 2292-2298
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W2888958033
- Cited by
- 177
- References
- 5
- FWCI
- 3.85
- 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: Electroreduction of CO2 to CO on a Mesoporous Carbon Catalyst with Progressively Removed Nitrogen Moieties. https://app.cochat.ai/papers/10.1021/acsenergylett.8b01409
- The paper
- Daiyan, R., Tan, X., Chen, R., Saputera, W. H., Tahini, H. A., Lovell, E., Ng, Y. H., Smith, S. C., Dai, L., Lu, X., & Amal, R. (2018). Electroreduction of CO2 to CO on a Mesoporous Carbon Catalyst with Progressively Removed Nitrogen Moieties. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.8b01409
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.
