Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 185

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Fe–N–C Boosts the Stability of Supported Platinum Nanoparticles for Fuel Cells

Open access
Xiao, Fei, Wang, Yian, Xu, Gui-Liang, Yang, Fei, Zhu, Shangqian, Sun, Cheng-Jun, Cui, Yingdan, Xu, Zhiwen, Zhao, Qinglan, Jang, Juhee, Qiu, Xiaoyi, Liu, Ershuai, Drisdell, Walter S., Wei, Zidong, Gu, Meng, Amine, Khalil, Shao, Minhua·2022·Journal of the American Chemical Society

Abstract

The poor durability of Pt-based nanoparticles dispersed on carbon black is the challenge for the application of long-life polymer electrolyte fuel cells. Recent work suggests that Fe- and N-codoped carbon (Fe–N–C) might be a better support than conventional high-surface-area carbon. In this work, we find that the electrochemical surface area retention of Pt/Fe–N–C is much better than that of commercial Pt/C during potential cycling in both acidic and basic media. In situ inductively coupled plasma mass spectrometry studies indicate that the Pt dissolution rate of Pt/Fe–N–C is 3 times smaller than that of Pt/C during cycling. Density functional theory calculations further illustrate that the Fe–N–C substrate can provide strong and stable support to the Pt nanoparticles and alleviate the oxide formation by adjusting the electronic structure. The strong metal–substrate interaction, together with a lower metal dissolution rate and highly stable support, may be the reason for the significantly enhanced stability of Pt/Fe–N–C. This finding highlights the importance of carbon support selection to achieve a more durable Pt-based electrocatalyst for fuel cells.

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/jacs.2c08305

Cites

3 of 3 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 3 references

Cited by

See all 185

Metadata

Authors
Xiao, F., Wang, Y., Xu, G.-L., Yang, F., Zhu, S., Sun, C.-J., Cui, Y., Xu, Z., Zhao, Q., Jang, J., Qiu, X., Liu, E., Drisdell, W. S., Wei, Z., Gu, M., Amine, K., & Shao, M.
Venue
Journal of the American Chemical Society
Published
2022-10-25
Volume
144
Issue
44
Pages
20372-20384
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W4307344422
Cited by
185
References
3
FWCI
6.49
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: Fe–N–C Boosts the Stability of Supported Platinum Nanoparticles for Fuel Cells. https://app.cochat.ai/papers/10.1021/jacs.2c08305
The paper
Xiao, F., Wang, Y., Xu, G.-L., Yang, F., Zhu, S., Sun, C.-J., Cui, Y., Xu, Z., Zhao, Q., Jang, J., Qiu, X., Liu, E., Drisdell, W. S., Wei, Z., Gu, M., Amine, K., & Shao, M. (2022). Fe–N–C Boosts the Stability of Supported Platinum Nanoparticles for Fuel Cells. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.2c08305

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.