Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 194

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Upper Limit of Nitrogen Content in Carbon Materials

Zhang, Shiguo, Tsuzuki, Seiji, Ueno, Kazuhide, Dokko, Kaoru, Watanabe, Masayoshi·2015·Angewandte Chemie International Edition

Abstract

Nitrogen‐doped carbon materials (NDCs) play an important role in various fields. A great deal of effort has been devoted to obtaining carbon materials with a high nitrogen content; however, much is still unknown about the structure of the nitrogen‐doped materials and the maximum nitrogen content possible for such compounds. Here, we demonstrate an interesting relationship between the N/C molar ratio and the N content of NDCs. The upper limit for the nitrogen content of NDCs that might be achieved was estimated and found to strongly depend on the carbonization temperature (14.32 wt % at 1000 °C and 21.66 wt % at 900 °C), irrespective of the precursor or preparation conditions. Simulations suggest that, especially in the carbon architectures obtained at high temperatures, nitrogen atoms are always located on separate hexagon moieties in a graphitic configuration, thereby yielding a critical N/C molar ratio very close to the value estimated from the experimental results.

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 · 10.1002/anie.201410234

Cites

5 of 5 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 5 references

Cited by

See all 194

Metadata

Authors
Zhang, S., Tsuzuki, S., Ueno, K., Dokko, K., & Watanabe, M.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2014-11-25
Volume
54
Issue
4
Pages
1302-1306
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2136841410
Cited by
194
References
5
FWCI
8.79
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: Upper Limit of Nitrogen Content in Carbon Materials. https://app.cochat.ai/papers/10.1002/anie.201410234
The paper
Zhang, S., Tsuzuki, S., Ueno, K., Dokko, K., & Watanabe, M. (2015). Upper Limit of Nitrogen Content in Carbon Materials. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201410234

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.