Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 255

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

Cellulose nanocrystallites as an efficient support for nanoparticles of palladium: application for catalytichydrogenation and Heck coupling under mild conditions

Cirtiu, Ciprian M., Dunlop-Brière, Alexandre F., Moores, Audrey·2011·Green Chem.

Abstract

We report herein the synthesis of a new hybrid material, PdNPs@CNCs consisting of monodisperse Pd nanoparticles (PdNPs) evenly deposited onto colloidal cellulose nanocrystallites (CNCs). This material proved an active catalyst for the hydrogenation reaction of phenol to cyclohexanone in water as a solvent, at room temperature, under 4 bar of dihydrogen. Moreover, the catalyst perfomed well in the Heck coupling of styrene and iodobenzene in a hydro-organic mixture. CNCs constitute a highly crystalline, ordered and yet accessible green material easily obtained from wood pulp. This work demonstrates the possibility of using colloidal CNCs as an efficient support for catalysis.

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/c0gc00326c

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 255

Metadata

Authors
Cirtiu, C. M., Dunlop-Brière, A. F., & Moores, A.
Venue
Green Chem.
Published
2011
Volume
13
Issue
2
Pages
288-291
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W1979174951
Cited by
255
References
3
FWCI
4.39
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: Cellulose nanocrystallites as an efficient support for nanoparticles of palladium: application for catalytichydrogenation and Heck coupling under mild conditions. https://app.cochat.ai/papers/10.1039/c0gc00326c
The paper
Cirtiu, C. M., Dunlop-Brière, A. F., & Moores, A. (2011). Cellulose nanocrystallites as an efficient support for nanoparticles of palladium: application for catalytichydrogenation and Heck coupling under mild conditions. Green Chem. https://doi.org/10.1039/c0gc00326c

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.