Characterization of various reversed-phase columns using the linear free energy relationship. I. Evaluation based on retention factors

Ákos Sándi, L. Szepesy

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Abstract

Nine prepacked narrow-pore and six wide-pore reversed-phase columns containing various ligands (C18, C8, C4, CN) and obtained from different manufacturers were investigated. Retention factors of 34 solutes of widely different type were determined under isocratic conditions using an acetonitrile-water (30:70) mobile phase. Retention data were evaluated by principal component analysis (PCA) in order to compare column characteristics. Based on the same datasheet, stationary phase properties were compared in the frame of the linear free energy relationship (LFER) using solvation parameters of the solutes studied. The fitting coefficients of the LFER-based regression equations are characteristic of the individual stationary phases and represent the extent of the various molecular interactions contributing to the retention process. Column characterization furnished by PCA and LFER is discussed in detail. Copyright (C) 1998 Elsevier Science B.V.

Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalJournal of Chromatography A
Volume818
Issue number1
DOIs
Publication statusPublished - Aug 28 1998

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Principal Component Analysis
Free energy
Principal component analysis
Molecular interactions
Solvation
Ligands
Water
acetonitrile

Keywords

  • Column characetristics
  • Linear free energy relationships
  • Principal component analysis
  • Retention behaviour
  • Retention factors
  • Stationary phases, LC

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

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abstract = "Nine prepacked narrow-pore and six wide-pore reversed-phase columns containing various ligands (C18, C8, C4, CN) and obtained from different manufacturers were investigated. Retention factors of 34 solutes of widely different type were determined under isocratic conditions using an acetonitrile-water (30:70) mobile phase. Retention data were evaluated by principal component analysis (PCA) in order to compare column characteristics. Based on the same datasheet, stationary phase properties were compared in the frame of the linear free energy relationship (LFER) using solvation parameters of the solutes studied. The fitting coefficients of the LFER-based regression equations are characteristic of the individual stationary phases and represent the extent of the various molecular interactions contributing to the retention process. Column characterization furnished by PCA and LFER is discussed in detail. Copyright (C) 1998 Elsevier Science B.V.",
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N2 - Nine prepacked narrow-pore and six wide-pore reversed-phase columns containing various ligands (C18, C8, C4, CN) and obtained from different manufacturers were investigated. Retention factors of 34 solutes of widely different type were determined under isocratic conditions using an acetonitrile-water (30:70) mobile phase. Retention data were evaluated by principal component analysis (PCA) in order to compare column characteristics. Based on the same datasheet, stationary phase properties were compared in the frame of the linear free energy relationship (LFER) using solvation parameters of the solutes studied. The fitting coefficients of the LFER-based regression equations are characteristic of the individual stationary phases and represent the extent of the various molecular interactions contributing to the retention process. Column characterization furnished by PCA and LFER is discussed in detail. Copyright (C) 1998 Elsevier Science B.V.

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