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Cited by 934

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Cucurbituril chemistry: a tale of supramolecular success

Masson, Eric, Ling, Xiaoxi, Joseph, Roymon, Kyeremeh-Mensah, Lawrence, Lu, Xiaoyong·2012·RSC Adv.

Abstract

This review highlights the past six year advances in the blossoming field of cucurbit[n]uril chemistry. Because of their exceptional recognition properties in aqueous medium, these pumpkin-shaped macrocycles have been generating some tremendous interest in the supramolecular community. They have also become key units in various self-organizing and stimulus-controlled assemblies, as well as in advanced materials and drug carriers. The scope of this review is limited to the main family of cucurbit[n]urils (n = 5, 6, 7, 8, 10). The reader will find an overview of their preparation, their physicochemical and biological properties, as well as their recognition abilities towards various organic and inorganic guests. Detailed thermodynamic and kinetic considerations, as well as multiple applications including supramolecular catalysis are also discussed.

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Crossref · 10.1039/c1ra00768h

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Metadata

Authors
Masson, E., Ling, X., Joseph, R., Kyeremeh-Mensah, L., & Lu, X.
Venue
RSC Adv.
Published
2012
Volume
2
Issue
4
Pages
1213-1247
ISSN
2046-2069 (ISSN-L)
OpenAlex
W2160134664
Cited by
934
References
123
FWCI
30.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cucurbituril chemistry: a tale of supramolecular success. https://app.cochat.ai/papers/10.1039/c1ra00768h
The paper
Masson, E., Ling, X., Joseph, R., Kyeremeh-Mensah, L., & Lu, X. (2012). Cucurbituril chemistry: a tale of supramolecular success. RSC Adv. https://doi.org/10.1039/c1ra00768h

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.