Stationary-phase optimized selectivity liquid chromatography : development of a linear gradient prediction algorithm
- Author
- Maarten De Beer (UGent) , Frederic Lynen (UGent) , Kai Chen (UGent) , Paul Ferguson, Melissa Hanna-Brown and Patrick Sandra (UGent)
- Organization
- 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.
- Keywords
- PREOPT-W, SERIALLY COUPLED COLUMNS, RETENTION MODELS, MULTIVARIATE-OPTIMIZATION, SOLID CHROMATOGRAPHY, OBJECTIVE FUNCTIONS, SIMULATION PROGRAM, SOLVENT MODULATION, HPLC, ELUTION
Downloads
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 597.11 KB
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 1.39 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-888788
- Chicago
- De Beer, Maarten, Frederic Lynen, Kai Chen, Paul Ferguson, Melissa Hanna-Brown, and Patrick Sandra. 2010. “Stationary-phase Optimized Selectivity Liquid Chromatography : Development of a Linear Gradient Prediction Algorithm.” Analytical Chemistry 82 (5): 1733–1743.
- APA
- De Beer, M., Lynen, F., Chen, K., Ferguson, P., Hanna-Brown, M., & Sandra, P. (2010). Stationary-phase optimized selectivity liquid chromatography : development of a linear gradient prediction algorithm. ANALYTICAL CHEMISTRY, 82(5), 1733–1743.
- Vancouver
- 1.De Beer M, Lynen F, Chen K, Ferguson P, Hanna-Brown M, Sandra P. Stationary-phase optimized selectivity liquid chromatography : development of a linear gradient prediction algorithm. ANALYTICAL CHEMISTRY. 2010;82(5):1733–43.
- MLA
- De Beer, Maarten, Frederic Lynen, Kai Chen, et al. “Stationary-phase Optimized Selectivity Liquid Chromatography : Development of a Linear Gradient Prediction Algorithm.” ANALYTICAL CHEMISTRY 82.5 (2010): 1733–1743. Print.
@article{888788,
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.},
author = {De Beer, Maarten and Lynen, Frederic and Chen, Kai and Ferguson, Paul and Hanna-Brown, Melissa and Sandra, Patrick},
issn = {0003-2700},
journal = {ANALYTICAL CHEMISTRY},
language = {eng},
number = {5},
pages = {1733--1743},
title = {Stationary-phase optimized selectivity liquid chromatography : development of a linear gradient prediction algorithm},
url = {http://dx.doi.org/10.1021/ac902287v},
volume = {82},
year = {2010},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: