Stationary-phase optimized selectivity liquid chromatography: development of a linear gradient prediction algorithm.
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.
De Beer
Maarten
M
Pfizer Analytical Research Centre, Ghent University, Krijgslaan 281-S4 Bis, B-9000 Ghent, Belgium.
Lynen
Fréderic
F
Chen
Kai
K
Ferguson
Paul
P
Hanna-Brown
Melissa
M
Sandra
Pat
P
D000465:Algorithms; D002853:Chromatography, Liquid / Q000379:methods*