title: Systematic interpolation method predicts protein chromatographic elution from batch isotherm data without a detailed mechanistic isotherm model.
abstract: Predicting protein elution for overloaded ion exchange columns requires models capable of describing protein binding over broad ranges of protein and salt concentrations. Although approximate mechanistic models are available, they do not always have the accuracy needed for precise predictions. The aim of this work is to develop a method to predict protein chromatographic behavior from batch isotherm data without relying on a mechanistic model. The method uses a systematic empirical interpolation (EI) scheme coupled with a lumped kinetic model with rate parameters determined from HETP measurements for non-binding conditions, to numerically predict the column behavior. For two experimental systems considered in this work, predictions based on the EI scheme are in excellent agreement with experimental elution profiles under highly overloaded conditions without using any adjustable parameters. A qualitative study of the sensitivity of predicting protein elution profiles to the precision, granularity, and extent of the batch adsorption data shows that the EI scheme is relatively insensitive to the properties of the dataset used, requiring only that the experimental ranges of protein and salt concentrations overlap those under which the protein actually elutes from the column and possess a ± 10% measurement precision.
authors.affiliation: Department of Chemical Engineering, University of Virginia, Charlottesville, VA, USA.
authors.forename: Arch
authors.initials: A
authors.lastname: Creasy
authors.affiliation: Biologics Process Development, Bristol-Myers Squibb, Hopewell, NJ, USA.
authors.forename: Gregory
authors.initials: G
authors.lastname: Barker
authors.affiliation: Biologics Process Development, Bristol-Myers Squibb, Hopewell, NJ, USA.
authors.forename: Yan
authors.initials: Y
authors.lastname: Yao
authors.affiliation: Department of Chemical Engineering, University of Virginia, Charlottesville, VA, USA. gc@virginia.edu.
authors.forename: Giorgio
authors.initials: G
authors.lastname: Carta
mesh_terms: D000327:Adsorption; D002852:Chromatography, Ion Exchange / Q000379:methods*; D007700:Kinetics; D008956:Models, Chemical; D009113:Muramidase; D011506:Proteins / Q000032:analysis / Q000737:chemistry* / Q000302:isolation & purification*; D012680:Sensitivity and Specificity; D013816:Thermodynamics
chemical_list: D011506:Proteins; D009113:Muramidase
keywords: Overloading; Predictive modeling; Protein chromatography