Literature DB >> 11215900

Atomistic modeling of enantioselection in chromatography.

K B Lipkowitz1.   

Abstract

A review of atomistic molecular modeling studies related to chromatographic separations of enantiomers is presented. Only those types of calculations where direct interactions between a selector and a selectand are involved are described in this review; omitted are regression models. An emphasis is placed on comparing methods used for sampling potential energy surfaces implementing different methodologies like quantum and molecular mechanics for energy calculations, and molecular dynamics and Monte Carlo sampling strategies for simulations. Type I-V chiral stationary phases and additives for capillary electrophoresis and ion-pair chromatography are covered in this review.

Mesh:

Year:  2001        PMID: 11215900     DOI: 10.1016/s0021-9673(00)00946-8

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

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Authors:  Gerald Gübitz; Martin G Schmid
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2.  An effective simulation of aqueous micellar aggregates by computational models.

Authors:  Guido Angelini; Giorgio Cerichelli; Simona Cerritelli; Marco Pierini; Gabriella Siani; Claudio Villani
Journal:  J Comput Aided Mol Des       Date:  2005-04       Impact factor: 3.686

3.  Theoretical Study of the β-Cyclodextrin Inclusion Complex Formation of Eugenol in Water.

Authors:  Elena Alvira
Journal:  Molecules       Date:  2018-04-17       Impact factor: 4.411

Review 4.  Progress in the Enantioseparation of β-Blockers by Chromatographic Methods.

Authors:  Yiwen Yang; Yehui Wang; Zongbi Bao; Qiwei Yang; Zhiguo Zhang; Qilong Ren
Journal:  Molecules       Date:  2021-01-17       Impact factor: 4.411

5.  Molecular Recognition of the HPLC Whelk-O1 Selector towards the Conformational Enantiomers of Nevirapine and Oxcarbazepine.

Authors:  Roberta Franzini; Marco Pierini; Andrea Mazzanti; Antonia Iazzetti; Alessia Ciogli; Claudio Villani
Journal:  Int J Mol Sci       Date:  2020-12-25       Impact factor: 5.923

  5 in total

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