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Empirical relationship between chiral selectivity and mobile phase modifier properties
J A Blackwell1, R W Stringham, D Xiang
1Dupont Pharmaceuticals Company, Chemical Process Research and Development, Chambers Works, Deepwater, NJ 08023, USA. john.a.blackwell@dupontpharma.com
Journal of Chromatography. A
|September 11, 1999
Summary
This study developed a model linking mobile phase modifier properties to chiral selectivity in chromatography. The model accurately predicts separations on Pirkle-type and cellulosic stationary phases using carbon dioxide mobile phases.
Area of Science:
- Analytical Chemistry
- Chromatography
- Separation Science
Background:
- Chiral separations are crucial in pharmaceuticals and chemical industries.
- Predicting chiral selectivity is challenging due to complex analyte-selector interactions.
- Mobile phase composition significantly influences chromatographic performance.
Purpose of the Study:
- To establish an empirical relationship between mobile phase modifier properties and chiral selectivity.
- To develop a predictive model for chiral separations using different stationary and mobile phases.
- To assess the model's applicability with novel modifiers and analytes.
Main Methods:
- Utilized carbon dioxide and heptane-based mobile phases.
- Employed Pirkle-type and cellulosic stationary phases.
- Derived a two-parameter empirical equation to model mobile phase modifier effects.
Main Results:
- An accurate two-parameter model was developed for Pirkle-type phases with CO2 and heptane-based mobile phases.
- Similar predictive success was achieved for cellulosic phases using CO2-based mobile phases.
- Modeling was unsuccessful for heptane-based mobile phases with cellulosic stationary phases.
Conclusions:
- The derived empirical relationship effectively models chiral selectivity factors.
- The predictive model shows promise for optimizing chiral separations, particularly with CO2 mobile phases.
- Further investigation is needed for heptane-based mobile phases with cellulosic stationary phases.