Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 620

The DOI matches its Crossref record; 153 of the 153 references it cites were found in a registry or an index.

Application of metal and metal oxide nanoparticles@MOFs

Open access
Falcaro, Paolo, Ricco, Raffaele, Yazdi, Amirali, Imaz, Inhar, Furukawa, Shuhei, Maspoch, Daniel, Ameloot, Rob, Evans, Jack D., Doonan, Christian J.·2016·Coordination Chemistry Reviews

Abstract

Abstract Composites based on Metal-Organic Frameworks (MOFs) are an emerging class of porous materials that have been shown to possess unique functional properties. Nanoparticles@MOFs composites combine the tailorable porosity of MOFs with the versatile functionality of metal or metaloxide nanoparticles. A wide range of nanoparticles@MOFs have been synthesised and their performance characteristics assessed in molecular adsorption and separation, catalysis, sensing, optics, sequestration of pollutants, drug delivery, and renewable energy. This review covers the main research areas where nanoparticles@MOFs have been strategically applied and highlights the scientific challenges to be considered for their continuing development.

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 · 10.1016/j.ccr.2015.08.002

Cites

153 of 153 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 153 references

Cited by

See all 620

Metadata

Authors
Falcaro, P., Ricco, R., Yazdi, A., Imaz, I., Furukawa, S., Maspoch, D., Ameloot, R., Evans, J. D., & Doonan, C. J.
Venue
Coordination Chemistry Reviews
Publisher
Elsevier BV
Published
2016-01
Volume
307
Pages
237-254
ISSN
0010-8545 (ISSN-L)
OpenAlex
W1148975778
Cited by
620
References
153
FWCI
21.81
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: Application of metal and metal oxide nanoparticles@MOFs. https://app.cochat.ai/papers/10.1016/j.ccr.2015.08.002
The paper
Falcaro, P., Ricco, R., Yazdi, A., Imaz, I., Furukawa, S., Maspoch, D., Ameloot, R., Evans, J. D., & Doonan, C. J. (2016). Application of metal and metal oxide nanoparticles@MOFs. Coordination Chemistry Reviews. https://doi.org/10.1016/j.ccr.2015.08.002

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.