A simulation-guided approach to the selection of RPLC columns for platform small molecule separations

Area of Science:

• Analytical Chemistry
• Chromatography
• Separation Science

Background:

• Reversed-phase columns are crucial for small molecule separation in analytical chemistry.
• Optimizing column selection is essential for achieving high-resolution separations.
• Traditional single-column approaches may face limitations in complex mixture analysis.

Purpose of the Study:

• To evaluate the separation potential of numerous reversed-phase columns for small molecules using simulations.
• To develop a preferred column set for enhanced separation efficiency.
• To compare the performance of tandem-column liquid chromatography (TC-LC) with single-column approaches.

Main Methods:

• Utilized simulations incorporating the hydrophobic subtraction model (HSM) to calculate retention factors.
• Applied fundamental chromatography theory to estimate retention times and peak widths.
• Calculated resolution between adjacent compound pairs in virtual mixtures.

Main Results:

• The TC-LC approach demonstrated a higher separation success rate (53.2%) compared to single-column LC (42.6%) for 16-compound samples using 20 columns.
• Simulations identified a preferred column set that closely matched previously empirically determined sets.
• TC-LC achieved comparable selectivity with a significantly smaller column inventory (nine 50-mm columns) versus single-column LC (twenty-one 100-mm columns) in screening.

Conclusions:

• Simulations provide a reliable method for predicting column performance and optimizing column selection.
• TC-LC offers a more efficient strategy for small molecule separation, particularly in screening applications.
• The study validates the effectiveness of computational approaches in advancing chromatographic method development.