Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 171

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

MOF–graphite oxide nanocomposites: surface characterization and evaluation as adsorbents of ammonia

Petit, Camille, Bandosz, Teresa J.·2009·Journal of Materials Chemistry

Abstract

Metal-organic framework (MOF-5)–graphite oxide (GO) composite was synthesized using a solvothermal synthesis route. The parent materials (MOF-5 and GO) and the nanocomposite were characterized using X-ray diffraction, SEM, TEM, FTIR and adsorption of nitrogen. They were also tested as adsorbents of ammonia in dynamic conditions. The composite material obtained had a unique layered texture with a preserved structure of MOF-5 and GO. When tested as ammonia adsorbent, the composite showed some synergy enhancing the adsorption capacity in comparison with the hypothetical physical mixture of the components. Although the removal capacity was high in the presence of moisture, water had a detrimental effect on the chemistry of materials and destroyed their porous framework. This caused ammonia retained on the surface to be progressively desorbed from the materials when the samples were purged with air.

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/b908862h

Cites

3 of 3 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 3 references

Cited by

See all 171

Metadata

Authors
Petit, C., & Bandosz, T. J.
Venue
Journal of Materials Chemistry
Published
2009
Volume
19
Issue
36
Pages
6521
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2030582968
Cited by
171
References
3
FWCI
3.20
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: MOF–graphite oxide nanocomposites: surface characterization and evaluation as adsorbents of ammonia. https://app.cochat.ai/papers/10.1039/b908862h
The paper
Petit, C., & Bandosz, T. J. (2009). MOF–graphite oxide nanocomposites: surface characterization and evaluation as adsorbents of ammonia. Journal of Materials Chemistry. https://doi.org/10.1039/b908862h

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.