Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 212

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Active Sites on Heterogeneous Single-Iron-Atom Electrocatalysts in CO2 Reduction Reaction

Qin, Xueping, Zhu, Shangqian, Xiao, Fei, Zhang, Lulu, Shao, Minhua·2019·ACS Energy Letters

Abstract

Nitrogen-coordinated single-metal-atom catalysts (Me–N–C) are promising candidates for CO 2 -to-CO electrocatalytic conversion. The nature of real active sites in this type of electrocatalyst, however, is not clear. In this Letter, we study the specific interactions between the reaction intermediates and a model single-iron-atom catalyst (Fe–N–C) by combining in situ infrared absorption spectroscopy and density functional theory (DFT) calculations. For the first time, we confirm that the Fe centers in Fe–N 4 moieties hosted by the complete graphitic layer are poisoned by strongly adsorbed CO and should not be the real active sites for gaseous CO production. Further DFT calculation results suggest that the high CO selectivity and reaction rate may originate from Fe–N 4 moieties embedded in a defective graphitic layer that have balanced binding energies of adsorbed COOH and CO species. These findings add significant new insights into the mechanisms of CO 2 reduction on carbon-based single-atom electrocatalysts.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acsenergylett.9b01015

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 212

Metadata

Authors
Qin, X., Zhu, S., Xiao, F., Zhang, L., & Shao, M.
Venue
ACS Energy Letters
Published
2019-06-28
Volume
4
Issue
7
Pages
1778-1783
ISSN
2380-8195 (ISSN-L)
OpenAlex
W2953611593
Cited by
212
References
2
FWCI
5.62
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: Active Sites on Heterogeneous Single-Iron-Atom Electrocatalysts in CO2 Reduction Reaction. https://app.cochat.ai/papers/10.1021/acsenergylett.9b01015
The paper
Qin, X., Zhu, S., Xiao, F., Zhang, L., & Shao, M. (2019). Active Sites on Heterogeneous Single-Iron-Atom Electrocatalysts in CO2 Reduction Reaction. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.9b01015

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.