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Cited by 188

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

Catalysis using gold nanoparticles decorated on nanocrystalline cellulose

Lam, Edmond, Hrapovic, Sabahudin, Majid, Ehsan, Chong, Jonathan H., Luong, John H. T.·2012·Nanoscale

Abstract

A novel nanocomposite was prepared by deposition of carbonate-stabilized Au nanoparticles (AuNPs) onto the surface of poly(diallyldimethyl ammonium chloride) (PDDA)-coated carboxylated nanocrystalline cellulose (NCC). The hybrid material possessed AuNPs (1.45% by weight) with an average diameter of 2.95 ± 0.06 nm. The catalytic activity of AuNP/PDDA/NCC for reducing 4-nitrophenol to 4-aminophenol was compared to other Au-supported composites. An activation energy of 69.2 kJ mol(-1) was obtained for the reaction. Indeed, the reaction rate constant k of (5.1 ± 0.2) × 10(-3) s(-1) was comparable to the benchmark literature value obtained using AuNPs (<5 nm in diameter) decorated on a network of crystalline cellulose fibers. Our strategy promotes the use of natural resources to prepare reusable hybrid inorganic-organic materials for important reactions with facilitated product isolation/purification.

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Metadata

Authors
Lam, E., Hrapovic, S., Majid, E., Chong, J. H., & Luong, J. H. T.
Venue
Nanoscale
Published
2012
Volume
4
Issue
3
Pages
997
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W2010760005
Cited by
188
References
2
FWCI
8.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Catalysis using gold nanoparticles decorated on nanocrystalline cellulose. https://app.cochat.ai/papers/10.1039/c2nr11558a
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Lam, E., Hrapovic, S., Majid, E., Chong, J. H., & Luong, J. H. T. (2012). Catalysis using gold nanoparticles decorated on nanocrystalline cellulose. Nanoscale. https://doi.org/10.1039/c2nr11558a

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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.