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ITP in dynamically double-coated fused-silica capillaries
Jitka Caslavska1, Wolfgang Thormann
1Department of Clinical Pharmacology, University of Bern, Bern, Switzerland.
Bidirectional isotachophoresis (ITP) in specialized capillaries offers robust analysis of small molecules. A dynamic computer model accurately predicts electroosmotic flow (EOF) and separation profiles, enhancing analytical capabilities.
Area of Science:
- Analytical Chemistry
- Separation Science
- Electrochemistry
Background:
- Bidirectional isotachophoresis (ITP) in fused-silica capillaries coated with Polybrene and poly-(vinylsulfonate) is effective for analyzing low-molecular-mass compounds.
- Strong electroosmotic flow (EOF) towards the cathode is observed across a wide pH range (2.40-8.08), influenced by ionic strength and buffer type, increasing at alkaline pH.
Purpose of the Study:
- To develop and validate a dynamic computer model for simulating electrokinetic separations and transport in bidirectional ITP.
- To investigate the prediction of EOF using both constant and pH/ionic strength-dependent electroosmotic mobility within the model.
Main Methods:
- Utilized fused-silica capillaries double-coated with Polybrene and poly-(vinylsulfonate) for bidirectional ITP.
- Employed a dynamic computer model to simulate combined electrophoresis and electroosmosis.
- Monitored detector profiles using two axial contactless conductivity detectors and a UV absorbance detector.
Main Results:
- The dynamic computer model successfully predicted detector profiles that qualitatively matched experimental bidirectional isotachopherograms.
- The model's ability to predict varying EOF based on pH and ionic strength was deemed realistic.
- EOF mobility was found to be strong (>4.0 x 10(-8) m(2)/Vs) and dependent on experimental conditions.
Conclusions:
- Bidirectional ITP in specially coated capillaries, coupled with a dynamic simulation model, provides a robust analytical method.
- The developed computer model accurately simulates electrokinetic transport phenomena, including pH- and ionic strength-dependent EOF.
- This approach enhances the understanding and prediction of complex separation behaviors in capillary electrophoresis.
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