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Systematic Interpolation Method Predicts Antibody Monomer‐Dimer Separation by Gradient Elution Chromatography at High Protein Loads
Author(s) -
Creasy Arch,
Reck Jason,
Pabst Timothy,
Hunter Alan,
Barker Gregory,
Carta Giorgio
Publication year - 2019
Publication title -
biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 84
eISSN - 1860-7314
pISSN - 1860-6768
DOI - 10.1002/biot.201800132
Subject(s) - elution , chemistry , chromatography , dimer , adsorption , monomer , interpolation (computer graphics) , salt (chemistry) , langmuir adsorption model , analytical chemistry (journal) , polymer , organic chemistry , computer science , animation , computer graphics (images)
A previously developed empirical interpolation (EI) method is extended to predict highly overloaded multicomponent elution behavior on a cation exchange (CEX) column based on batch isotherm data. Instead of a fully mechanistic model, the EI method employs an empirically modified multicomponent Langmuir equation to correlate two‐component adsorption isotherm data at different salt concentrations. Piecewise cubic interpolating polynomials are then used to predict competitive binding at intermediate salt concentrations. The approach is tested for the separation of monoclonal antibody monomer and dimer mixtures by gradient elution on the cation exchange resin Nuvia HR‐S. Adsorption isotherms are obtained over a range of salt concentrations with varying monomer and dimer concentrations. Coupled with a lumped kinetic model, the interpolated isotherms predict the column behavior for highly overloaded conditions. Predictions based on the EI method shows good agreement with experimental elution curves for protein loads up to 40 mg mL −1 column or about 50% of the column binding capacity. The approach can be extended to other chromatographic modalities and to more than two components.