A data base for polymer chromatography: dependence of interaction parameters on mobile phase composition
Bernd Trathnigg1, Muhammad Imran Malik, Otto Jamelnik
1Institute of Chemistry, Karl-Franzens-University, Heinrichstrasse 28, A-8010 Graz, Austria. bernd.trathnigg@uni-graz.at
Analytica Chimica Acta
|November 7, 2007
Summary
Polymer retention in liquid adsorption chromatography (LAC) is predictable. Accessible column volume, pore surface, and interaction parameters accurately forecast polymer behavior in LAC.
Area of Science:
- Polymer Science
- Chromatography
- Analytical Chemistry
Background:
- Polymer retention in chromatography depends on column characteristics and interactions.
- Size exclusion chromatography emphasizes pore diameter, while liquid adsorption chromatography (LAC) relies on interaction parameters and pore surface.
Purpose of the Study:
- To demonstrate the predictability of polymer retention in LAC.
- To identify key parameters for accurate retention prediction in LAC.
Main Methods:
- Utilizing accessible column volume and pore surface.
- Employing interaction parameters from a database.
- Analyzing polymer behavior in liquid adsorption chromatography.
Main Results:
- Polymer retention in LAC can be accurately predicted.
- Accessible volume and pore surface are crucial, easily determinable parameters.
- Interaction parameters are vital for predicting retention behavior.
Conclusions:
- Liquid adsorption chromatography retention for polymers is highly predictable.
- Accessible column volume, pore surface, and interaction parameters are key predictors.
- This method offers a straightforward approach to forecasting polymer chromatographic behavior.
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