title: Using partition designs to enhance purification process understanding.
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.
authors.affiliation: Biogen Idec, San Diego, California 92122, USA. john.pieracci@biogenidec.com
authors.forename: John
authors.initials: J
authors.lastname: Pieracci
authors.forename: Leonard
authors.initials: L
authors.lastname: Perry
authors.forename: Lynn
authors.initials: L
authors.lastname: Conley
mesh_terms: D000818:Animals; D000911:Antibodies, Monoclonal / Q000302:isolation & purification* / Q000378:metabolism; D001709:Biotechnology / Q000379:methods*; D016466:CHO Cells; D006224:Cricetinae; D003412:Cricetulus; D008962:Models, Theoretical; D013678:Technology, Pharmaceutical / Q000379:methods*
chemical_list: D000911:Antibodies, Monoclonal