4.5 Article

Mechanistic modeling of hydrophobic interaction chromatography for monoclonal antibody purification: process optimization in the quality by design paradigm

期刊

出版社

WILEY
DOI: 10.1002/jctb.5324

关键词

hydrophobic interaction chromatography; mechanistic modeling; general rate model; exponentially modified Langmuir adsorption model; monoclonal antibody; aggregate removal

资金

  1. DST-EPSRC project [DST/RC-UL/12-AM/2012]
  2. DBT Centre of Excellence for Biopharmaceutical Technology [BT/COE/34/SP15097/2015]

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BACKGROUNDA mechanistic model has been developed for hydrophobic interaction chromatography (HIC) based purification of monoclonal antibodies (mAbs). The model has been used to gain thorough process understanding as desired by the quality by design paradigm. The model is based on the general rate model coupled with an exponentially modified Langmuir adsorption model. The latter has been modeled by using the solvophobic theory for correlating protein adsorption equilibrium on the hydrophobic media with the mobile phase salt concentration. RESULTSThe proposed model satisfactorily predicts the elution profile of the monoclonal antibody product under consideration and its aggregates on a HIC column (Phenyl Sepharose 6 Fast Flow(TM) low sub) operated in linear gradient mode. The model has been used to elucidate the underlying mechanism behind separation of monomer and aggregate species. A comparison of the relative time scales for the various mass transfer events for mAb and aggregate species indicates that the intra-particle (pore) diffusion transport of these molecules to their respective binding sites within the porous HIC resin is the rate limiting step whereas convection, film diffusion, and binding kinetics are relatively faster (time scales are 10(-1) to 10(-3) order of magnitude times the time scale of intra-particle pore diffusion). CONCLUSIONSThe proposed methodology for modeling can be successfully implemented to achieve efficient aggregate removal by HIC using minimal experimentation compared with the traditional experimentally extensive approaches. (c) 2017 Society of Chemical Industry

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