High-throughput screening of chromatographic separations: IV. Ion-exchange

✍ Scribed by Brian D. Kelley; Mary Switzer; Patrick Bastek; Jack F. Kramarczyk; Kathleen Molnar; Tianning Yu; Jon Coffman

• Publisher: John Wiley and Sons
• Year: 2008
• Tongue: English
• Weight: 481 KB
• Volume: 100
• Category: Article
• ISSN: 0006-3592
• DOI: 10.1002/bit.21905

✦ Synopsis

Abstract

Ion‐exchange (IEX) chromatography steps are widely applied in protein purification processes because of their high capacity, selectivity, robust operation, and well‐understood principles. Optimization of IEX steps typically involves resin screening and selection of the pH and counterion concentrations of the load, wash, and elution steps. Time and material constraints associated with operating laboratory columns often preclude evaluating more than 20–50 conditions during early stages of process development. To overcome this limitation, a high‐throughput screening (HTS) system employing a robotic liquid handling system and 96‐well filterplates was used to evaluate various operating conditions for IEX steps for monoclonal antibody (mAb) purification. A screening study for an adsorptive cation‐exchange step evaluated eight different resins. Sodium chloride concentrations defining the operating boundaries of product binding and elution were established at four different pH levels for each resin. Adsorption isotherms were measured for 24 different pH and salt combinations for a single resin. An anion‐exchange flowthrough step was then examined, generating data on mAb adsorption for 48 different combinations of pH and counterion concentration for three different resins. The mAb partition coefficients were calculated and used to estimate the characteristic charge of the resin–protein interaction. Host cell protein and residual Protein A impurity levels were also measured, providing information on selectivity within this operating window. The HTS system shows promise for accelerating process development of IEX steps, enabling rapid acquisition of large datasets addressing the performance of the chromatography step under many different operating conditions. Biotechnol. Bioeng. 2008;100: 950–963. © 2008 Wiley Periodicals, Inc.