Prediction of elution bandwidth for purine compounds by a retention model in reversed-phase HPLC with linear-gradient elution.

J Sep Sci

ERC for Advanced Bioseparation Technology and Department of Chemical Engineering, Inha University, Incheon, Korea.

Published: January 2008

In reversed-phase liquid chromatography, the retention mechanism of solute has been studied under linearly programmed gradient mobile-phase conditions. The separation of a mixture of four purine compounds (purine, theobromine, theophylline, and caffeine) was considered as a practical case in two binary mobile phase systems, water/methanol and water/acetonitrile. The retention model which describes how the retention factor is related to the mobile-phase composition has been developed in various mathematical forms to predict the retention time in both linear and gradient elutions. For a pulse injection of sample, two important factors, the retention time and the bandwidth of solute, might be computable to predict the elution profiles estimated by the distribution function, such as the Gaussian distribution function. In this work, a prediction method based on the analogue of the retention model was proposed to calculate the bandwidth in linear gradient elutions. Band broadening was caused by the different migration velocities of the front and rear ends of the solute band in a chromatographic column. Therefore, the migration behaviors of the front and rear ends of the solute band were explained with the same retention model which had been used to predict the retention time of solute. For the well retained solutes, theophylline and caffeine, the predicted bandwidth and experimentally obtained bandwidth showed good agreement in both isocratic and gradient elutions.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jssc.200700244DOI Listing

Publication Analysis

Top Keywords

retention model
16
retention time
12
gradient elutions
12
retention
9
purine compounds
8
theophylline caffeine
8
predict retention
8
linear gradient
8
distribution function
8
front rear
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!