Journal of the Iranian Chemical Society

, Volume 15, Issue 10, pp 2295–2305 | Cite as

Characterization of stationary phases based on monosubstituted benzene retention indices using correspondence factor analysis and linear solvation energy relationships in RPLC

  • Hassina Larbi
  • Linda Didaoui
  • Michel Righezza
Original Paper


In reversed-phase liquid chromatography (RPLC), the comparison of experimental results obtained from different columns is a complex problem. A correspondence factor analysis (CFA) and a linear solvation energy relationship (LSER) were applied on retention data to characterize second-order intermolecular interactions responsible for retention on a set of RPLC columns. Seven octadecyl-C18 columns with different packing materials are obtained from different manufacturers and one octyl-C8 column. The retention data were determined under isocratic conditions using a methanol–water (65:35, v/v) mobile phase. The chromatographic retention indices based on alkan-2-ones and alkyl aryl ketones retention index scales are calculated using a multiparametric least-squares regressions iterative method. The CFA and LSER results permitted to highlight that the retention indices were appropriate for studying the second-order retention mechanisms on the eight chromatographic systems investigated and exhibited the best reproducibility. Although many earlier studies have reported the use of chemometric methods to characterize chemical factors affecting retention in RPLC using retention factors as retention parameters, this is the first study based on retention indices.


Retention indices Correspondence factor analysis Solvation parameter model Monosubstituted benzenes Characterization of RPLC stationary phases Retention mechanism 


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Copyright information

© Iranian Chemical Society 2018

Authors and Affiliations

  1. 1.Laboratoire d´Analyse Organique Fonctionnelle, Faculté de ChimieUniversité des Sciences et de la Technologie Houari BoumedieneAlgiersAlgeria
  2. 2.Centrale Marseille, Aix Marseille Université, CNRS, ISM2 UMR 7313MarseilleFrance

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