Literature DB >> 24999065

Calculated and experimental chromatograms for distorted gradients and non-linear solvation strength retention models.

Fabrice Gritti1, Georges Guiochon2.   

Abstract

Computer calculations of gradient chromatograms were performed by taking into account the adsorption behavior of the strong eluent in RPLC and the true Henry constant of the analytes. This improves the accuracy of classical gradient calculations, which all assume no affinity of the eluent modifier for the stationary phase and that the linear solvation strength model (LSSM) applies. The excess adsorption isotherm of acetonitrile with respect to water was measured by the minor disturbance method onto a Symmetry-C₁₈ RPLC adsorbent. The variations of the Henry constants of a nine compound mixture with the volume fraction of acetonitrile in the aqueous mobile phase were measured. The equilibrium dispersive model of chromatography combined with orthogonal collocation on finite elements was used to calculate chromatograms of the sample mixture for four gradient times decreasing from 25 to 1 min. The results predict a loss of resolution for the less retained analytes when the gradient times becomes smaller than 4 min. They also predict that this behavior can be eliminated when applying a quadratic gradient profile rather than a classical linear gradient. The predictions were validated by the agreement between the calculated and experimental chromatograms.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acetonitrile; Computer simulation; Distorted gradients; Equilibrium dispersive model; Gradient chromatography; Non-linear solvation strength model

Mesh:

Substances:

Year:  2014        PMID: 24999065     DOI: 10.1016/j.chroma.2014.06.030

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  "Measure Your Gradient": a new way to measure gradients in high performance liquid chromatography by mass spectrometric or absorbance detection.

Authors:  Megan H Magee; Joseph C Manulik; Brian B Barnes; Daniel Abate-Pella; Joshua T Hewitt; Paul G Boswell
Journal:  J Chromatogr A       Date:  2014-10-08       Impact factor: 4.759

2.  Accurate prediction of retention in hydrophilic interaction chromatography by back calculation of high pressure liquid chromatography gradient profiles.

Authors:  Nu Wang; Paul G Boswell
Journal:  J Chromatogr A       Date:  2017-08-26       Impact factor: 4.759

  2 in total

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