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RESEARCH FRONT (Open Access)

Graded IR Filters: Distinguishing Between Single and Multipoint NO2···I Halogen Bonded Supramolecular Synthons (P, Q, and R Synthons)

Subhankar Saha A , Somnath Ganguly A and Gautam R. Desiraju A B
+ Author Affiliations
- Author Affiliations

A Solid State and Structural Chemistry Unit, Indian Institute of Science, Bangalore 560012, India.

B Corresponding author. Email: desiraju@sscu.iisc.ernet.in

Australian Journal of Chemistry 67(12) 1840-1848 https://doi.org/10.1071/CH14361
Submitted: 5 June 2014  Accepted: 17 July 2014   Published: 4 September 2014

Abstract

The NO2···I supramolecular synthon is a halogen bonded recognition pattern that is present in the crystal structures of many compounds that contain these functional groups. These synthons have been previously distinguished as P, Q, and R types using topological and geometrical criteria. A five step IR spectroscopic sequence is proposed here to distinguish between these synthon types in solid samples. Sets of known compounds that contain the P, Q, and R synthons are first taken to develop IR spectroscopic identifiers for them. The identifiers are then used to create graded IR filters that sieve the synthons. These filters contain signatures of the individual NO2···I synthons and may be applied to distinguish between P, Q, and R synthon varieties. They are also useful to identify synthons that are of a borderline character, synthons in disordered structures wherein the crystal structure in itself is not sufficient to distinguish synthon types, and in the identification of the NO2···I synthons in compounds with unknown crystal structures. This study establishes clear differences for the three different geometries P, Q, and R and in the chemical differences in the intermolecular interactions contained in the synthons. Our IR method can be conveniently employed when single crystals are not readily available also in high throughput analysis. It is possible that such identification may also be adopted as an input for crystal structure prediction analysis of compounds with unknown crystal structures.


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