Prediction of recovery based on solubility parameter value of anti-solvent in drowning-out of proteins

J. H. Hwang, J. M. Kim, S. M. Chang, I. H. Kim, W. S. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It requires that an anti-solvent is designed in relation to its precipitation efficacy in drowning-out process of proteins, more delicately. Based on the solubility parameter value of a specific solvent, we designed the forecasting model on protein precipitation in the present study. First, each protein recovery on drowning-out with some kinds of solvents was estimated by Miller-modified Lowry assay. And then the recovery data were plotted versus each solubility parameter value of the used solvents. Next, we obtained the model curve for prediction of recovery through regression and correlation analyses. Finally, to support our prediction on protein recovery due to a specific anti-solvent, the newly-designed anti-solvents were employed in the same procedure. The predicted values and the experimental results were compared. In this study, it was shown that protein recovery by drowning-out was closely correlated with solubility parameter value of a specific anti-solvent. Therefore, protein recovery may be forecasted with the selection of a specific second solvent in drowning-out, according to our semi-empirical recovery model.

Original languageEnglish
Title of host publicationCHISA 2006 - 17th International Congress of Chemical and Process Engineering
Publication statusPublished - 2006
EventCHISA 2006 - 17th International Congress of Chemical and Process Engineering - Prague, Czech Republic
Duration: 27 Aug 200631 Aug 2006

Publication series

NameCHISA 2006 - 17th International Congress of Chemical and Process Engineering

Conference

ConferenceCHISA 2006 - 17th International Congress of Chemical and Process Engineering
Country/TerritoryCzech Republic
CityPrague
Period27/08/0631/08/06

Keywords

  • Drowning-out
  • Protein recovery
  • Semi-empirical prediction
  • Solubility parameter

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