Using partition designs to enhance purification process understanding

Biotechnology and Bioengineering
John PieracciLynn Conley

Abstract

Characterization of purification processes by identifying significant input parameters and establishing predictive models is vital to developing robust processes. Current experimental design approaches restrict analysis to one process step at a time, which can severely limit the ability to identify interactions between process steps. This can be overcome by the use of partition designs which can model multiple, sequential process steps simultaneously. This paper presents the application of partition designs to a monoclonal antibody purification process. Three sequential purification steps were modeled using both traditional experimental designs and partition designs and the results compared as a proof of concept study. The partition and traditional design approaches identified the same input parameters within each process step that significantly affected the product quality output examined. The partition design also identified significant interactions between input parameters across process steps that could not be uncovered by the traditional approach.

References

Feb 3, 2004·Journal of Chromatography. a·Deborah K Follman, Robert L Fahrner
Apr 16, 2008·Biotechnology Progress·Abhinav A ShuklaSteven S Lee
Apr 17, 2008·Biotechnology Progress·Jean HarmsAnurag S Rathore
Jan 10, 2009·Nature Biotechnology·Anurag S Rathore, Helen Winkle
Apr 16, 2009·Protein Expression and Purification·Julita K GrzeskowiakAlois Jungbauer
Jul 1, 2010·Biotechnology and Bioengineering·Susan Fugett Abu-AbsiAbhinav A Shukla

❮ Previous
Next ❯

Citations

Oct 12, 2012·Applied Microbiology and Biotechnology·M Butler, A Meneses-Acosta
Nov 30, 2012·Biotechnology and Bioengineering·Yvonne E ThomassenWilfried A M Bakker
Oct 15, 2013·Biotechnology Progress·Ajish S R PottyAnthony Dileo
Apr 19, 2017·Annual Review of Chemical and Biomolecular Engineering·José E Tabora, Nathan Domagalski
Oct 24, 2014·Bioengineering·Andrea MeitzChristoph Herwig

❮ Previous
Next ❯

Related Concepts

Related Feeds

Bioinformatics in Biomedicine

Bioinformatics in biomedicine incorporates computer science, biology, chemistry, medicine, mathematics and statistics. Discover the latest research on bioinformatics in biomedicine here.