Stationary-phase optimized selectivity liquid chromatography: Development of a linear gradient prediction algorithm

Maarten De Beer; Frédéric Lynen; Kai Chen; Paul Ferguson; Melissa Hanna-Brown; Pat Sandra

doi:10.1021/ac902287v

Stationary-phase optimized selectivity liquid chromatography: Development of a linear gradient prediction algorithm

Maarten De Beer
, Frédéric Lynen
, Kai Chen
, Paul Ferguson
, Melissa Hanna-Brown
, Pat Sandra

Research output: Contribution to journal › Article › peer-review

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-IX 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 SOSLC 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.

Original language	English
Pages (from-to)	1733-1743
Number of pages	11
Journal	Analytical Chemistry
Volume	82
Issue number	5
DOIs	https://doi.org/10.1021/ac902287v
Publication status	Published - 1 Mar 2010
Externally published	Yes

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10.1021/ac902287v

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title = "Stationary-phase optimized selectivity liquid chromatography: Development of a linear gradient prediction algorithm",

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-IX 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 SOSLC 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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T1 - Stationary-phase optimized selectivity liquid chromatography

T2 - Development of a linear gradient prediction algorithm

AU - De Beer, Maarten

AU - Lynen, Frédéric

AU - Chen, Kai

AU - Ferguson, Paul

AU - Hanna-Brown, Melissa

AU - Sandra, Pat

PY - 2010/3/1

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N2 - 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-IX 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 SOSLC 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.

AB - 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-IX 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 SOSLC 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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Stationary-phase optimized selectivity liquid chromatography: Development of a linear gradient prediction algorithm

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