Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 505

The DOI matches its Crossref record.

Effect of graphitic carbon nitride microstructures on the activity and selectivity of photocatalytic CO2 reduction under visible light

Mao, Jin, Peng, Tianyou, Zhang, Xiaohu, Li, Kan, Ye, Liqun, Zan, Ling·2013·Catalysis Science & Technology

Abstract

Two kinds of graphitic carbon nitride (g-C3N4) were synthesized through a pyrolysis process of urea or melamine. It is found that the obtained g-C3N4, as photocatalysts, can reduce CO2 to organic fuels under visible light, and exhibit different photoactivity and selectivity on the formation of CH3OH and C2H5OH. The product derived from the urea (denoted as u-g-C3N4) shows a mesoporous flake-like structure with a larger surface area and higher photoactivity for the CO2 reduction than the non-porous flaky product obtained from melamine (denoted as m-g-C3N4). Moreover, using u-g-C3N4 as a photocatalyst can result in the formation of a mixture containing CH3OH and C2H5OH, while m-g-C3N4 only leads to the selective formation of C2H5OH. The present interesting findings could shed light on the design of efficient, eco-friendly and convenient photocatalysts and the tuning of their photoreactivity in the field of sustainable light-to-energy conversion.

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 · 10.1039/c3cy20822b

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.

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

Metadata

Authors
Mao, J., Peng, T., Zhang, X., Li, K., Ye, L., & Zan, L.
Venue
Catalysis Science & Technology
Published
2013
Volume
3
Issue
5
Pages
1253
ISSN
  • 2044-4753 (ISSN-L)
  • 2044-4761
OpenAlex
W2070374953
Cited by
505
References
0
FWCI
14.67
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: Effect of graphitic carbon nitride microstructures on the activity and selectivity of photocatalytic CO2 reduction under visible light. https://app.cochat.ai/papers/10.1039/c3cy20822b
The paper
Mao, J., Peng, T., Zhang, X., Li, K., Ye, L., & Zan, L. (2013). Effect of graphitic carbon nitride microstructures on the activity and selectivity of photocatalytic CO2 reduction under visible light. Catalysis Science & Technology. https://doi.org/10.1039/c3cy20822b

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.