Molecular mechanism of retention in reversed-phase high-performance liquidchromatography and classification of modern stationary phases by using quantitative structure-retention relationships
R. Kaliszan et al., Molecular mechanism of retention in reversed-phase high-performance liquidchromatography and classification of modern stationary phases by using quantitative structure-retention relationships, J CHROMAT A, 855(2), 1999, pp. 455-486
Quantitative structure-retention relationships (QSRRs) were derived for log
arithms of retention factors normalised to a hypothetical zero percent orga
nic modifier eluent, log k(w), determined on 18 reversed-phase high-perform
ance liquid chromatography (RP-HPLC) columns for 25 carefully designed, str
ucturally diverse test analytes, The study was aimed at elucidating molecul
ar mechanism of retention and at finding an objective manner of quantitativ
e comparison of retention properties acid classification of modern stationa
ry phases for RP-HPLC, Three QSRR approaches were employed: (i) relating lo
g k(w) to logarithms of octanol-water partition coefficient (log P); (ii) d
escribing log k(w) in terms of linear solvation-energy relationship-based p
arameters of Abraham; (iii) regressing log k(w) against simple structural d
escriptors acquired by calculation chemistry. All the approaches produced s
tatistically significant and physically interpretable QSRRs. By means of QS
RRs the stationary phase materials were classified according to the prevail
ing intermolecular interactions in the separation process. Hydrophobic prop
erties of the columns tested were parametrized, Abilities of individual pha
ses to provide contributions to the overall retention due to non-polar Lond
on-type intermolecular interactions were quantified. Measures of hydrogen-b
ond donor activity and dipolarity of stationary phases are proposed along w
ith two other phase polarity parameters. The parameters proposed quantitati
vely characterize the RP-HPLC stationary phases and provide a rational expl
anation for the differences in retention patterns of individual columns obs
erved when applying the conventional empirical testing methods. (C) 1999 El
sevier Science BN. All rights reserved.