Molecular dynamics simulations of amylose- and cellulose-based selectors and related enantioseparations in liquid phase chromatography
Articolo
Data di Pubblicazione:
2023
Abstract:
In the last few decades, theoretical and technical advancements in computer facilities and
computational techniques have made molecular modeling a useful tool in liquid-phase enantioseparation
science for exploring enantioselective recognition mechanisms underlying enantioseparations
and for identifying selector-analyte noncovalent interactions that contribute to binding and recognition.
Because of the dynamic nature of the chromatographic process, molecular dynamics (MD)
simulations are particularly versatile in the visualization of the three-dimensional structure of analytes
and selectors and in the unravelling of mechanisms at molecular levels. In this context, MD was also
used to explore enantioseparation processes promoted by amylose and cellulose-based selectors, the
most popular chiral selectors for liquid-phase enantioselective chromatography. This review presents
a systematic analysis of the literature published in this field, with the aim of providing the reader with
a comprehensive picture about the state of the art and what is still missing for modeling cellulose
benzoates and the phenylcarbamates of amylose and cellulose and related enantioseparations with
MD. Furthermore, advancements and outlooks, as well as drawbacks and pitfalls still affecting
the applicability of MD in this field, are also discussed. The importance of integrating theoretical
and experimental approaches is highlighted as an essential strategy for profiling mechanisms and
noncovalent interaction patterns.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Computational methods; enantioselective recognition; enantioseparation; molecular dynamics; polysaccharide-based chiral stationary phases
Elenco autori:
Dallocchio, ROBERTO NICO; Dessi', Alessandro; Peluso, Paola; Sechi, Barbara
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