A parallel pore and surface diffusion model for predicting the adsorption and elution profiles of lispro insulin and two impurities in gradient-elution reversed phase chromatography

Combined effects of potassium chloride and ethanol as mobile phase modulators on hydrophobic interaction and reversed-phase chromatography of three insulin variants

“…In a study on the effect of salt on hydrophobic interactions [17], Melander and Horváth compared precipitation and protein chromatography, as a decrease in protein solubility generally results in an increase in chromatographic retention of the protein. This adaptation of the solvophobic theory is probably the most well-known and widely used theory to describe the hydrophobic effects in chromatography [31][32][33][34]. However, it has been shown that the effect of salts on protein retention cannot be explained by their effect on surface tension alone [20,22,27,35].…”

Model‐based monitoring of industrial reversed phase chromatography to predict insulin variants

“…As demonstrated by Degerman et al and Johansson et al when the UV absorbance is used for model calibration to simulate artificial mixtures of product and impurities, the UV absorbance profile needs to display well pronounced shoulders to allow the simulation of the impurities . Even then, the prediction of variants might still be challenging …”

“…29,37 Even then, the prediction of variants might still be challenging. 38 Instead of using the UV absorbance to calibrate the model, we demonstrate here that by fitting the mechanistic model of RPC to analytical QC data, the elution of the insulin product and, arguably more important, the insulin variants can be predicted. By building the model with QC data, one can avoid relying on UV absorbance.…”

Development Of ABEC Column For Separation Of Tc-99 From Northstar Dissolved Target Solution

“…As a result, a pore-diffusion model can be used to predict closely the frontal curves. 11,12 Since the Tc-99 feed concentration in the system of interest is relatively low (~10 -6 M), the pore-diffusion model was tested for process simulation and design. The assumptions and equations for the pore-diffusion VERSE model have been reported elsewhere.…”