The enantioseparation of amino acids on a teicoplanin chiral stationary phase using non-aqueous mobile phases after pre-column derivatization with sulfur-containing reagents: the considerations of mobile phase composition and analyte structure variation on resolution enhancement

2006 ◽  
Vol 20 (8) ◽  
pp. 718-728 ◽  
Author(s):  
S. Chen
Keyword(s):  
Amino Acids ◽  
Phase Composition ◽  
Mobile Phase ◽  
Chiral Stationary Phase ◽  
Resolution Enhancement ◽  
Mobile Phase Composition ◽  
Structure Variation ◽  
Mobile Phases ◽  
Sulfur Containing ◽  
Aqueous Mobile Phases

MAGIC-LC/FT-IR Spectrometry: Preliminary Studies

1988 ◽  
Vol 42 (8) ◽  
pp. 1365-1368 ◽  
Author(s):  
R. M. Robertson ◽  
J. A. De Haseth ◽  
J. D. Kirk ◽  
R. F. Browner
Keyword(s):  
Phase Composition ◽  
Mobile Phase ◽  
Mobile Phase Composition ◽  
Reverse Phase ◽  
Ir Spectrometry ◽  
Aerosol Generation ◽  
Mobile Phases ◽  
Ft Ir ◽  
Effluent Stream ◽  
Phase Water

A new solvent elimination interface based on the Monodisperse Aerosol Generation Interface for Combining Liquid Chromatography with Fourier transform infrared (MAGIC-LC/FT-IR) spectrometry is described. The solvent elimination efficiency of MAGIC-LC/FT-IR was studied by varying the mobile-phase composition from 100% methanol to 100% water. As the mobile-phase composition was varied, erythrosin B was injected into the interface and deposited on a KBr window after the solvent removal. Spectra were obtained which compared favorably with reference spectra, even as the mobile-phase water content was increased. A reverse-phase separation was completed to demonstrate that readily identifiable spectra can be obtained from mobile phases containing high percentages of water, without heating of the effluent stream.

scholarly journals Retention Behaviour in Micellar Liquid Chromatography

2012 ◽  
Vol 2012 ◽  
pp. 1-5
Author(s):  
Maria Rambla-Alegre
Keyword(s):  
Liquid Chromatography ◽  
Phase Composition ◽  
Mobile Phase ◽  
A Priori ◽  
Great Accuracy ◽  
Micellar Liquid Chromatography ◽  
Computer Assisted ◽  
Mobile Phase Composition ◽  
Mobile Phases ◽  
Sequential Strategy

Retention in micellar liquid chromatography is highly reproducible and can be modelled using empirical or mechanistic models with great accuracy to predict the retention changes when the mobile phase composition varies (surfactant and organic solvent concentrations), thus facilitating the optimisation of separation conditions. In addition, the different equilibria inside the column among the solute, the mobile phase, and the modified stationary phase by monomers of surfactant have been exhaustively studied. In a sequential strategy, the retention of the solutes is not known a priori, and each set of mobile phases is designed by taking into account the retention observed with previous eluents. By contrast, in an interpretative strategy, the experiments are designed before the optimization process and used to fit a model that will allow the prediction of the retention of each solute. This strategy is more efficient and reliable. The sequential strategy will be inadequate when several local and/or secondary maxima exist, as frequently occurs in chromatography, and may not give the best maximum, that is to say, the optimum. More often than not, the complexity of the mixtures of compounds studied and the relevant modification of their chromatographic behaviour when changing the mobile phase composition requires the use of computer-assisted simulations in MLC to follow the modifications in the chromatograms in detail. These simulations can be done with sound reliability thanks to the use of chemometrics tools.

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