eCite Digital Repository

Mixed-mode electrokinetic chromatography of aromatic bases with two pseudo-stationary phases and pH control


Zakaria, P and Macka, M and Haddad, PR, Mixed-mode electrokinetic chromatography of aromatic bases with two pseudo-stationary phases and pH control, Journal of Chromatography A, 997, (1-2) pp. 207-218. ISSN 0021-9673 (2003) [Refereed Article]

DOI: doi:10.1016/S0021-9673(03)00064-5


The electrokinetic chromatographic (EKC) separation of a series of aromatic bases was achieved utilising an electrolyte system comprising an anionic soluble polymer (polyvinylsulfonic acid, PVS) and a neutral β-cyclodextrin (β-CD) as pseudo-stationary phases. The separation mechanism was based on a combination of electrophoresis, ion-exchange interactions with PVS, and hydrophobic interactions with β-CD. The extent of each chromatographic interaction was independently variable, allowing for control of the separation selectivity of the system. The ion-exchange and the hydrophobic interactions could be varied by changing the PVS and the β-CD concentrations, respectively. Additionally, mobilities of the bases could be controlled by varying pH, due to their large range of pKa values. The separation system was very robust with reproducibility of migration times being <2% RSD. The two-dimensional parameter space defined by the two variables, [β-CD] and %PVS, was modelled using a physical model derived from first principles. This model gave very good correlation between predicted and observed mobilities (r2=0.999) for the 13 aromatic bases and parameters derived from the model agreed with the expected ion-exchange and hydrophobic character of each analyte. The complexity of the mathematical model was increased to include pH and this three-dimensional system was modelled successfully using an artificial neural network (ANN). Optimisation of both the two-dimensional and three-dimensional systems was achieved using the normalised resolution product and minimum resolution criteria. An example of using the ANN to predict conditions needed to obtain a separation with a desired migration order between two of the analytes is also shown. © 2003 Elsevier Science B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Chemical Sciences
Research Group:Analytical chemistry
Research Field:Separation science
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the chemical sciences
UTAS Author:Zakaria, P (Dr Philip Zakaria)
UTAS Author:Macka, M (Professor Mirek Macka)
UTAS Author:Haddad, PR (Professor Paul Haddad)
ID Code:27510
Year Published:2003
Web of Science® Times Cited:6
Deposited By:Chemistry
Deposited On:2003-08-01
Last Modified:2011-10-24

Repository Staff Only: item control page