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Halogen bonding: a general route in anion recognition and coordination

Cavallo, Gabriella, Metrangolo, Pierangelo, Pilati, Tullio, Resnati, Giuseppe, Sansotera, Maurizio, Terraneo, Giancarlo·2010·Chemical Society Reviews

Abstract

This critical review describes how halocarbons can function as effective binding sites of anions via halogen bonding, the noncovalent interaction whereby halogen atoms accept electron density. The focus is on the binding and coordination of oxyanions, by far the most numerous class of anions in organic chemistry. It is shown how a large variety of inorganic and organic oxyanions can form discrete adducts and 1D, 2D, or 3D supramolecular networks with chloro-, bromo-, and iodocarbons. Specific examples are discussed in order to identify new supramolecular synthons based on halogen bonding and to outline some general principles for the design of effective and selective receptors based on this interaction. The interaction allows for several other anions to self-assemble with halocarbons and mention is also given to the halogen bonding-based coordination of halides, polycyano- and polyoxometallates (72 references).

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Metadata

Authors
Cavallo, G., Metrangolo, P., Pilati, T., Resnati, G., Sansotera, M., & Terraneo, G.
Venue
Chemical Society Reviews
Published
2010
Volume
39
Issue
10
Pages
3772
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2161668046
Cited by
472
References
0
FWCI
2.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Halogen bonding: a general route in anion recognition and coordination. https://app.cochat.ai/papers/10.1039/b926232f
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Cavallo, G., Metrangolo, P., Pilati, T., Resnati, G., Sansotera, M., & Terraneo, G. (2010). Halogen bonding: a general route in anion recognition and coordination. Chemical Society Reviews. https://doi.org/10.1039/b926232f

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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.