Predicting column performance in displacement chromatography from high throughput screening batch experiments

A novel high throughput screening (HTS) technique has been recently developed for displacer discovery. In this article, the multicomponent steric mass action (SMA) model is used to determine column performance in displacement chromatography from batch HTS results. The multicomponent isotherm is first used to predict the displacer concentration in the batch HTS experiments without assaying for the displacer. This information is then employed to determine the single component dynamic affinities of the displacer and the protein and to predict displacement efficacy under column conditions. The model is used to predict the column displacement of horse heart cytochrome-C using N-α-benzoyl arginine ethyl ester as the displacer based on batch HTS results.