Literature DB >> 10519086

Molecular mechanism of retention in reversed-phase high-performance liquid chromatography and classification of modern stationary phases by using quantitative structure-retention relationships.

R Kaliszan1, M A van Straten, M Markuszewski, C A Cramers, H A Claessens.   

Abstract

Quantitative structure-retention relationships (QSRRs) were derived for logarithms of retention factors normalised to a hypothetical zero percent organic modifier eluent, log kw, determined on 18 reversed-phase high-performance liquid chromatography (RP-HPLC) columns for 25 carefully designed, structurally diverse test analytes. The study was aimed at elucidating molecular mechanism of retention and at finding an objective manner of quantitative comparison of retention properties and classification of modern stationary phases for RP-HPLC. Three QSRR approaches were employed: (i) relating log kw to logarithms of octanol-water partition coefficient (log P); (ii) describing log kw in terms of linear solvation-energy relationship-based parameters of Abraham; (iii) regressing log kw against simple structural descriptors acquired by calculation chemistry. All the approaches produced statistically significant and physically interpretable QSRRs. By means of QSRRs the stationary phase materials were classified according to the prevailing intermolecular interactions in the separation process. Hydrophobic properties of the columns tested were parametrized. Abilities of individual phases to provide contributions to the overall retention due to non-polar London-type intermolecular interactions were quantified. Measures of hydrogen-bond donor activity and dipolarity of stationary phases are proposed along with two other phase polarity parameters. The parameters proposed quantitatively characterize the RP-HPLC stationary phases and provide a rational explanation for the differences in retention patterns of individual columns observed when applying the conventional empirical testing methods.

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Year:  1999        PMID: 10519086     DOI: 10.1016/s0021-9673(99)00742-6

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


  6 in total

1.  Could linear solvation energy relationships give insights into chiral recognition mechanisms? 2. Characterization of macrocyclic glycopeptide stationary phases.

Authors:  Clifford R Mitchell; Daniel W Armstrong; Alain Berthod
Journal:  J Chromatogr A       Date:  2007-08-06       Impact factor: 4.759

2.  Study of the Interactions of Ionic Liquids in IC by QSRR.

Authors:  S Studzińska; M Molíková; P Kosobucki; P Jandera; B Buszewski
Journal:  Chromatographia       Date:  2011-02-25       Impact factor: 2.044

3.  Semi-Empirical Topological Method for Prediction of the Relative Retention Time of Polychlorinated Biphenyl Congeners on 18 Different HR GC Columns.

Authors:  Raouf Ghavami; S Mohammad Sajadi
Journal:  Chromatographia       Date:  2010-08-10       Impact factor: 2.044

4.  Development and validation of quantitative structure-activity relationship models for compounds acting on serotoninergic receptors.

Authors:  Grażyna Zydek; Elżbieta Brzezińska
Journal:  ScientificWorldJournal       Date:  2012-04-24

5.  Prediction of Chromatographic Elution Order of Analytical Mixtures Based on Quantitative Structure-Retention Relationships and Multi-Objective Optimization.

Authors:  Petar Žuvela; J Jay Liu; Ming Wah Wong; Tomasz Bączek
Journal:  Molecules       Date:  2020-07-06       Impact factor: 4.411

6.  Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

Authors:  Alina Plenis; Natalia Rekowska; Tomasz Bączek
Journal:  Int J Mol Sci       Date:  2016-01-21       Impact factor: 5.923

  6 in total

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