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

(2010) ANALYTICAL CHEMISTRY. 82(5). p.1733-1743
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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

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Citation

Please use this url to cite or link to this publication:

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},
  keyword      = {PREOPT-W,SERIALLY COUPLED COLUMNS,RETENTION MODELS,MULTIVARIATE-OPTIMIZATION,SOLID CHROMATOGRAPHY,OBJECTIVE FUNCTIONS,SIMULATION PROGRAM,SOLVENT MODULATION,HPLC,ELUTION},
  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},
}

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