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Prediction of Analyte Retention for Ion Chromatography Separations Performed Using Elution Profiles Comprising Multiple Isocratic and Gradient Steps

Citation

Shellie, RA and Ng, BK and Dicinoski, GW and Poynter, SDH and O'Reilly, JW and Pohl, CA and Haddad, PR, Prediction of Analyte Retention for Ion Chromatography Separations Performed Using Elution Profiles Comprising Multiple Isocratic and Gradient Steps, Analytical Chemistry, 80, (7) pp. 2474-2482. ISSN 0003-2700 (2008) [Refereed Article]

DOI: doi:10.1021/ac702275n

Abstract

This study addresses the simulation of ion chromatographic (IC) separations performed under conditions where the elution profile consists of a sequence of isocratic and gradient elution steps (referred to as "complex elution profiles"). First, models for prediction of retention under gradient elution conditions in IC were evaluated using an extensive database of gradient elution retention data. It is shown that one such model is preferred on the basis that it can be used to predict gradient retention times on the basis of isocratic input data. A method is then proposed for using this model for complex elution profiles whereby each step of the elution profile is treated separately and analyte movement through the column is mapped. An empirically based algorithm for predicting peak width under complex elution conditions is also proposed. Evaluation of the suggested approaches was undertaken on a set of 24 analyte anions and 13 analyte cations on 5 different Dionex columns using a range of 5-step complex elution profiles that gave R2 values for correlations between predicted and observed retention times of 0.987 for anions and 0.997 for cations. The simulation of separations of anions and cations using a 3-step complex elution profile is demonstrated, with good correlation between observed and predicted chromatograms. The proposed approach is useful for the rapid development of separations when complex elution profiles are used in IC. © 2008 American Chemical Society.

Item Details

Item Type:Refereed Article
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:Shellie, RA (Associate Professor Robert Shellie)
Author:Ng, BK (Dr Boon Ng)
Author:Dicinoski, GW (Associate Professor Gregory Dicinoski)
Author:Poynter, SDH (Mr Sam Poynter)
Author:O'Reilly, JW (Dr John O'Reilly)
Author:Haddad, PR (Professor Paul Haddad)
ID Code:55168
Year Published:2008
Web of Science® Times Cited:30
Deposited By:Chemistry
Deposited On:2009-03-05
Last Modified:2015-01-27
Downloads:0

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