Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,246

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Supported metal nanoparticles on porous materials. Methods and applications

White, Robin J., Luque, Rafael, Budarin, Vitaliy L., Clark, James H., Macquarrie, Duncan J.·2009·Chem. Soc. Rev.

Abstract

Nanoparticles are regarded as a major step forward to achieving the miniaturisation and nanoscaling effects and properties that have been utilised by nature for millions of years. The chemist is no longer observing and describing the behaviour of matter but is now able to manipulate and produce new types of materials with specific desired physicochemical characteristics. Such materials are receiving extensive attention across a broad range of research disciplines. The fusion between nanoparticle and nanoporous materials technology represents one of the most interesting of these rapidly expanding areas. The harnessing of nanoscale activity and selectivity, potentially provides extremely efficient catalytic materials for the production of commodity chemicals, and energy needed for a future sustainable society. In this tutorial review, we present an introduction to the field of supported metal nanoparticles (SMNPs) on porous materials, focusing on their preparation and applications in different areas.

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/b802654h

Cites

1 of 1 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 1,246

Metadata

Authors
White, R. J., Luque, R., Budarin, V. L., Clark, J. H., & Macquarrie, D. J.
Venue
Chem. Soc. Rev.
Published
2009
Volume
38
Issue
2
Pages
481-494
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W1963692763
Cited by
1,246
References
1
FWCI
2.40
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: Supported metal nanoparticles on porous materials. Methods and applications. https://app.cochat.ai/papers/10.1039/b802654h
The paper
White, R. J., Luque, R., Budarin, V. L., Clark, J. H., & Macquarrie, D. J. (2009). Supported metal nanoparticles on porous materials. Methods and applications. Chem. Soc. Rev. https://doi.org/10.1039/b802654h

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.