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  • Title: Stationary-phase optimized selectivity liquid chromatography: development of a linear gradient prediction algorithm.
    Author: De Beer M, Lynen F, Chen K, Ferguson P, Hanna-Brown M, Sandra P.
    Journal: Anal Chem; 2010 Mar 01; 82(5):1733-43. PubMed ID: 20146446.
    Abstract:
    Stationary-phase optimized selectivity liquid chromatography (SOS-LC) is a tool in reversed-phase LC (RP-LC) to optimize the selectivity for a given separation by combining stationary phases in a multisegment column. The presently (commercially) available SOS-LC optimization procedure and algorithm are only applicable to isocratic analyses. Step gradient SOS-LC has been developed, but this is still not very elegant for the analysis of complex mixtures composed of components covering a broad hydrophobicity range. A linear gradient prediction algorithm has been developed allowing one to apply SOS-LC as a generic RP-LC optimization method. The algorithm allows operation in isocratic, stepwise, and linear gradient run modes. The features of SOS-LC in the linear gradient mode are demonstrated by means of a mixture of 13 steroids, whereby baseline separation is predicted and experimentally demonstrated.
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