Literature DB >> 18649886

Orthogonal screening system of columns for supercritical fluid chromatography.

C West1, E Lesellier.   

Abstract

The application of supercritical fluid chromatography is expanding nowadays, particularly in the pharmaceutical industry and for natural extracts. In order to select appropriate columns from the continuously increasing number of potentially suitable ones, a test that evaluates stationary phases properties, based on the solvation parameter model, was performed earlier. In this study, it is investigated whether the number of stationary phases can be reduced to an optimized set with only highly orthogonal systems. Such a set of orthogonal chromatographic systems having different selectivities may provide the initial separation for method development. Moreover, it was considered important to include systems with good overall separation performance in our final set. Thus the columns are also selected based on their ability to provide sharp and symmetric peaks. An example application based on the analysis of seven sunscreen molecules is presented as a validation of the suggested column set.

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Year:  2008        PMID: 18649886     DOI: 10.1016/j.chroma.2008.07.016

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


  3 in total

1.  Novel ultra stable silica-based stationary phases for reversed phase liquid chromatography--study of a hydrophobically assisted weak acid cation exchange phase.

Authors:  Yu Zhang; Peter W Carr
Journal:  J Chromatogr A       Date:  2010-11-16       Impact factor: 4.759

2.  Application of Snyder-Dolan classification scheme to the selection of "orthogonal" columns for fast screening of illicit drugs and impurity profiling of pharmaceuticals--I. Isocratic elution.

Authors:  Wenzhe Fan; Yu Zhang; Peter W Carr; Sarah C Rutan; Melanie Dumarey; Adam P Schellinger; Wayne Pritts
Journal:  J Chromatogr A       Date:  2009-08-06       Impact factor: 4.759

3.  A visual approach to stationary phase selectivity classification based on the Snyder-Dolan Hydrophobic-Subtraction Model.

Authors:  Yu Zhang; Peter W Carr
Journal:  J Chromatogr A       Date:  2009-06-21       Impact factor: 4.759

  3 in total

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