Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 167

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

One-pot photochemical synthesis of graphene composites uniformly deposited with silver nanoparticles and their high catalytic activity towards the reduction of 2-nitroaniline

Zhang, Yiming, Yuan, Xun, Wang, Yuan, Chen, Yi·2012·Journal of Materials Chemistry

Abstract

A one-step photochemical approach was established to quickly and specifically synthesize uniformly dispersed silver nanoparticles (AgNPs) on reduced graphene oxide (rGO) nanosheets. Silver–ammonia and graphene oxide (GO) were used as precursors to enhance the coordination-based adsorption of silver cations onto the negatively charged GO surface through ligation with ammonia, which could also continuously stabilize the nucleation and growth of AgNPs. The method allowed the easy control of the coverage percentage of AgNPs on rGO in a range from 7.2% to 81.6%. The prepared AgNPs-rGO composites were highly dispersible and stable in water in the absence of any stabilizing agent, and showed excellent catalytic properties in the reduction of 2-nitroaniline to 1,2-benzenediamine.

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/c2jm16455h

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

Cited by

See all 167

Metadata

Authors
Zhang, Y., Yuan, X., Wang, Y., & Chen, Y.
Venue
Journal of Materials Chemistry
Published
2012
Volume
22
Issue
15
Pages
7245
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2062195975
Cited by
167
References
2
FWCI
7.73
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: One-pot photochemical synthesis of graphene composites uniformly deposited with silver nanoparticles and their high catalytic activity towards the reduction of 2-nitroaniline. https://app.cochat.ai/papers/10.1039/c2jm16455h
The paper
Zhang, Y., Yuan, X., Wang, Y., & Chen, Y. (2012). One-pot photochemical synthesis of graphene composites uniformly deposited with silver nanoparticles and their high catalytic activity towards the reduction of 2-nitroaniline. Journal of Materials Chemistry. https://doi.org/10.1039/c2jm16455h

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.