• DocumentCode
    3686340
  • Title

    Control systems technology in the advanced manufacturing of biologic drugs

  • Author

    Amos E. Lu;Joel A. Paulson;Nicholas J. Mozdzierz;Alan Stockdale;Ashlee N. Ford Versypt;Kerry R. Love;J. Christopher Love;Richard D. Braatz

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, MA 02139, USA
  • fYear
    2015
  • Firstpage
    1505
  • Lastpage
    1515
  • Abstract
    The paper focuses on systems engineering challenges for biomanufacturing, as exemplified by the Integrated and Scalable Cyto-Technology (InSCyT) bio-manufacturing platform under the Defense Advanced Research Projects Agency (DARPA) Biologically-derived Medicines on Demand (Bio-MOD) program. One goal of the project is to apply modeling and simulation techniques to the design, control, and optimization of biomanufacturing operations. In this paper, we present models and control strategies for the unit operations within the InSCyT platform, including a perfusion bioreactor, several packed bed and membrane chromatography steps, and a conductivity- and pH-controlled buffer mixing unit.
  • Keywords
    "Biological system modeling","Modeling","Mathematical model","Proteins","Process control","Feeds"
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/CCA.2015.7320824
  • Filename
    7320824