Native and substituted cyclodextrins as chiral selectors for capillary electrophoresis enantioseparations: structures, features, application, and molecular modeling
Articolo
Data di Pubblicazione:
2021
Abstract:
Cyclodextrins (CD) are cyclic oligosaccharides consisting of ?-D-glucopyranosyl units linked through
1,4-linkages, which are obtained from enzymatic degradation of starch. The co-existence of
hydrophilic and hydrophobic regions in the same structure makes these macrocycles extremely
versatile as complexing host with application in food, cosmetics, environmental, agriculture, textile,
pharmaceutical and chemical industries. Due to their inherent chirality, CDs have been also
successfully used as chiral selectors in enantioseparation science, in particular for capillary
electrophoresis (CE) enantioseparations. In the last decades, multidisciplinary approaches based on
CE, NMR spectroscopy, X-ray crystallography, microcalorimetry, and molecular modeling have shed
light on some aspects of recognition mechanisms underlying enantiodiscrimination. With the ever
growing improvement of computer facilities, hardware and software, computational techniques
have become a useful tool to model at molecular level the dynamics of diastereomeric associate
formation to sample low-energy conformations, the binding energies between the enantiomer and
the CD, and to profile noncovalent interactions contributing to the stability of CD/enantiomer
association. On this basis, the aim of this review is to provide the reader with a critical overview on
the applications of CDs in CE. In particular, the contemporary theory of the electrophoretic
technique and the main structural features of CDs are described, with a specific focus on techniques,
methods and approaches to model CE enantioseparations promoted by native and substituted CDs.
A systematic compilation of all published literature has not been attempted.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Capillary electrophoresis; Computational methods; Cyclodextrins; Enantioseparation; Molecular modeling
Elenco autori:
Peluso, Paola
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