Stochastic modeling of affinity adsorption

John Hubble

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A stochastic model is described that allows surface proximity and packing effects to be incorporated into predictions of adsorption kinetics and equil. of affinity adsorption. Equil. predictions show that, depending on conditions chosen, the results obtained for equil. conditions can exhibit either a Freundlich- or a Langmuir-type relationship. Under conditions of surface d. imposed adsorption constraints, the time taken for equil. to be reached increases as the "off" const. is decreased. This suggests that for resins having a high immobilized ligand d. binding kinetics may be more highly limited by the "off" const. than by mass transfer limitations. [on SciFinder (R)]
Original languageEnglish
Pages (from-to)565-567
Number of pages3
JournalBiotechnology Progress
Volume17
Issue number3
Publication statusPublished - 2001

Keywords

  • stochastic modeling of affinity adsorption)
  • protein affinity adsorption model
  • PROC (Process) (stochastic modeling of affinity adsorption)
  • Proteins Role
  • PEP (Physical
  • Simulation and Modeling (stochastic modeling of affinity adsorption)
  • Adsorption (protein
  • PRP (Properties)
  • Affinity
  • affinity
  • engineering or chemical process)

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