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Calculation of electrophoretic mobility in ternary solvent electrolyte systems.
A Jouyban1, H K Chan, M Khoubnasabjafari
1School of Pharmacy, Tabriz University of Medical Sciences, Tabriz 51664, Iran. ajouyban@hotmail.com
Journal of Pharmaceutical and Biomedical Analysis
|May 24, 2003
Summary
This study determined the electrophoretic mobility of salmeterol and phenylpropanolamine using capillary electrophoresis. A mathematical model accurately predicted these mobilities, aiding in analytical method development.
Area of Science:
- Analytical Chemistry
- Separation Science
- Physical Chemistry
Background:
- Capillary electrophoresis (CE) is a powerful separation technique.
- Understanding electrophoretic mobility is crucial for optimizing CE methods.
- Salmeterol and phenylpropanolamine are compounds with potential pharmaceutical applications.
Purpose of the Study:
- To determine the electrophoretic mobility of salmeterol and phenylpropanolamine in capillary electrophoresis.
- To investigate the effect of varying buffer compositions (water, methanol, acetonitrile) on mobility.
- To evaluate a mathematical model for predicting electrophoretic mobility.
Main Methods:
- Capillary electrophoresis was employed to measure electrophoretic mobility.
- Acetate buffer systems with varying concentrations of water, methanol, and acetonitrile were utilized.
- Experimental data were used to validate a predictive mathematical model.
Main Results:
- Maximum electrophoretic mobilities for salmeterol and phenylpropanolamine were observed at specific water-methanol-acetonitrile ratios (5:50:45, v/v and 3:60:37, v/v, respectively).
- Minimum mobilities for both compounds occurred at a methanol-acetonitrile ratio of 30:70 (v/v).
- The developed mathematical model accurately reproduced the experimental mobility data with mean percentage deviations of 1-4%.
Conclusions:
- The composition of the capillary electrophoresis buffer significantly influences the electrophoretic mobility of salmeterol and phenylpropanolamine.
- A validated mathematical model can reliably predict electrophoretic mobility, facilitating method optimization.
- This research contributes to the advancement of analytical techniques for pharmaceutical compound analysis.