摘要

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 cm 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 iden

  • 出版日期2010-12-1
  • 单位Biogen Idec