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Critical comparison of retention models for optimisation of the separation of anions in ion chromatography. III.Anion chromatography using hydroxide eluents on a Dionex AS11 stationary phase

Citation

Madden, JE and Avdalovic, N and Jackson, PE and Haddad, PR, Critical comparison of retention models for optimisation of the separation of anions in ion chromatography. III.Anion chromatography using hydroxide eluents on a Dionex AS11 stationary phase, Journal of Chromatography A, 837, (1-2) pp. 65-74. ISSN 0021-9673 (1999) [Refereed Article]


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DOI: doi:10.1016/S0021-9673(99)00087-4

Abstract

Three ion chromatography (IC) retention models, namely the linear solvent strength model (LSSM), empirical end points model (EEPM) and three-point curve fitting using DryLab from LC Resources were evaluated in terms of their ability to predict retention factors for inorganic anions separated on a Dionex AS11 column using electrolytically generated hydroxide eluents. Extensive experimental retention data were gathered for 21 anions (fluoride, acetate, formate, bromate, chloride, nitrite, methanesulfonate, bromide, chlorate, nitrate, iodide, thiocyanate, succinate, sulfate, tartrate, oxalate, tungstate, phthalate, chromate, thiosulfate and phosphate) using hydroxide eluents of varying concentration. Although the purely theoretical LSSM was found to give adequate performance, the EEPM (in which a linear relationship is assumed between the logarithm of retention factor and the logarithm of eluent strength, but the slope is determined empirically) and DryLab performed better, with DryLab giving the best accuracy and precision of the three models. The EEPM and DryLab were also shown to have advantages in terms of their low knowledge requirements and ease of solution. Compared with IC using dual eluent species, the retention behaviour in IC using single eluent species was found to be easier to model by both theoretical and empirical approaches.

Item Details

Item Type:Refereed Article
Keywords:Retention models; Mobile phase composition; Computer-assisted chromatography
Research Division:Chemical Sciences
Research Group:Analytical Chemistry
Research Field:Separation Science
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Chemical Sciences
Author:Madden, JE (Dr John Madden)
Author:Haddad, PR (Professor Paul Haddad)
ID Code:16204
Year Published:1999
Web of Science® Times Cited:46
Deposited By:Chemistry
Deposited On:1999-08-01
Last Modified:2010-02-20
Downloads:0

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