Retention controlling and peak shape simulation in anion chromatography using multiple equilibrium model and...

Area of Science:

• Analytical Chemistry
• Separation Science

Background:

• Chromatographic methods are crucial for analyzing anions.
• Predicting peak shape and retention is vital for accurate quantification.

Purpose of the Study:

• To integrate stochastic theory and equilibrium-based approaches for anion chromatography.
• To estimate kinetic and thermodynamic properties from a single chromatographic run.
• To predict peak shape and retention data for various anions.

Main Methods:

• Utilized stochastic theory and an equilibrium-based approach.
• Developed a retention database for organic and inorganic anions (formate, chloride, bromide, nitrate, sulfate, oxalate, phosphate).
• Employed a carbonate/bicarbonate eluent system across varying pH (9-11) and concentrations (7-13 mM).
• Applied a multispecies eluent/analyte model for peak shape simulation and retention control.

Main Results:

• Determined stochastic parameters like residence time and average adsorption steps for eluted anions.
• Observed higher residence times and fewer sorption steps in the investigated ion chromatography (IC) system compared to reversed-phase high-performance liquid chromatography (RP-HPLC).
• Achieved accurate peak shape simulation and retention control for anions.

Conclusions:

• The integrated method effectively estimates kinetic and thermodynamic properties.
• The combined application of stochastic theory and the multispecies model demonstrates significant predictive and simulation power.
• This approach enhances the analytical capabilities for anion separation and characterization.