Enantioseparation of fluorinated 3-arylthio-4,4’-bipyridines: Insights into chalcogen and pi greek-hole bonds in high-performance liquid chromatography

A chalcogen bond (ChB) is a sigma-hole-based noncovalent interaction between a Lewis base and an electrophilic element of Group VI (O, S, Se, Te), which behaves as a Lewis acid. Recently, we demonstrated that halogen bond, the more familiar sigma-hole-based interaction, is able to promote the enantioseparation of chiral compounds in HPLC environment. On this basis, an investigation to detect ChBs, functioning as stereoselective secondary interactions for HPLC enantioseparations, was started off and the results of this study are described herein. Our investigation also focused on the impact of the perfluorinated aromatic ring as a pi-hole donor recognition site. For these purposes, seven atropisomeric fluorinated 3-arylthio-4,4'-bipyridines were designed, synthesized and used as potential ChB donors (ChBDs) with two cellulose-based chiral stationary phases (CSPs) containing carbonyl groups as ChB acceptors (ChBAs). In addition, one and two analogues lacking fluorine and sulphur, respectively, were prepared as terms of comparison. The design of the test analytes was computationally guided. In this regard, electrostatic potentials (EPs) associated with sigma- and pi-holes were computed and the atomic contributions to the sulphur EP maxima were derived using a molecular space partitioning in terms of Bader's atomic basins. This procedure is akin to the Bader-Gatti electron density source function (SF) decomposition, yet suitably extended to the EP field. For five 3-substituted-4,4'-bipyridines, thermodynamic parameters were derived from van't Hoff plots. Finally, the use of molecular dynamic (MD) simulation to model ChB in celluloseanalyte complexes was explored. Evidences that sigma-hole and pi-hole interactions can jointly drive HPLC enantioseparations through recognition sites generated by electronic charge depletion emerged from both experimental results and theoretical data. (C) 2018 Elsevier B.V. All rights reserved.