NMR spectroscopy to study cyclodextrin-based host-guest assemblies with polynuclear clusters.


Journal

Dalton transactions (Cambridge, England : 2003)
ISSN: 1477-9234
Titre abrégé: Dalton Trans
Pays: England
ID NLM: 101176026

Informations de publication

Date de publication:
03 Oct 2023
Historique:
medline: 11 9 2023
pubmed: 11 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

Natural cyclodextrin (CD) macrocycles are known to form diverse inclusion complexes with a wide variety of organic molecules, but recent work has revealed that inorganic clusters also form multicomponent supramolecular complexes and edifices. Such molecular assemblies exhibit a high degree of organization in solution governed by various chemical processes including molecular recognition, host-guest attraction, hydrophobic repulsion, or chaotropic effect. Nuclear magnetic resonance (NMR) spectroscopy is one of the most efficient and practical analytical techniques to characterize the nature, the strength and the mechanism of these interactions in solution. This review provides a brief overview on recent examples of the contribution of NMR to the characterization of hybrid systems in solution based on CD with polynuclear clusters, including polyoxometalates (POMs), metallic clusters and hydroborate clusters. The focus will be first on using

Identifiants

pubmed: 37691564
doi: 10.1039/d3dt02367b
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

13467-13481

Auteurs

Mohamed Haouas (M)

Institut Lavoisier de Versailles (ILV), Université Paris-Saclay, UVSQ, CNRS, 45 avenue des Etats-Unis, 78000, Versailles, France. mohamed.haouas@uvsq.fr.

Clément Falaise (C)

Institut Lavoisier de Versailles (ILV), Université Paris-Saclay, UVSQ, CNRS, 45 avenue des Etats-Unis, 78000, Versailles, France. mohamed.haouas@uvsq.fr.

Nathalie Leclerc (N)

Institut Lavoisier de Versailles (ILV), Université Paris-Saclay, UVSQ, CNRS, 45 avenue des Etats-Unis, 78000, Versailles, France. mohamed.haouas@uvsq.fr.

Sébastien Floquet (S)

Institut Lavoisier de Versailles (ILV), Université Paris-Saclay, UVSQ, CNRS, 45 avenue des Etats-Unis, 78000, Versailles, France. mohamed.haouas@uvsq.fr.

Emmanuel Cadot (E)

Institut Lavoisier de Versailles (ILV), Université Paris-Saclay, UVSQ, CNRS, 45 avenue des Etats-Unis, 78000, Versailles, France. mohamed.haouas@uvsq.fr.

Classifications MeSH