• DocumentCode
    40661
  • Title

    Engineering Challenges for Instrumenting and Controlling Integrated Organ-on-Chip Systems

  • Author

    Wikswo, J.P. ; Block, F.E. ; Cliffel, D.E. ; Goodwin, C.R. ; Marasco, C.C. ; Markov, D.A. ; McLean, D.L. ; McLean, J.A. ; McKenzie, J.R. ; Reiserer, R.S. ; Samson, P.C. ; Schaffer, D.K. ; Seale, K.T. ; Sherrod, S.D.

  • Author_Institution
    Depts. of Biomed. Eng., Mol. Physiol. & Biophys., & Phys. & Astron., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    60
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    682
  • Lastpage
    690
  • Abstract
    The sophistication and success of recently reported microfabricated organs-on-chips and human organ constructs have made it possible to design scaled and interconnected organ systems that may significantly augment the current drug development pipeline and lead to advances in systems biology. Physiologically realistic live microHuman (μHu) and milliHuman (mHu) systems operating for weeks to months present exciting and important engineering challenges such as determining the appropriate size for each organ to ensure appropriate relative organ functional activity, achieving appropriate cell density, providing the requisite universal perfusion media, sensing the breadth of physiological responses, and maintaining stable control of the entire system, while maintaining fluid scaling that consists of ~5 mL for the mHu and ~5 μL for the μHu. We believe that successful mHu and μHu systems for drug development and systems biology will require low-volume microdevices that support chemical signaling, microfabricated pumps, valves and microformulators, automated optical microscopy, electrochemical sensors for rapid metabolic assessment, ion mobility-mass spectrometry for real-time molecular analysis, advanced bioinformatics, and machine learning algorithms for automated model inference and integrated electronic control. Toward this goal, we are building functional prototype components and are working toward top-down system integration.
  • Keywords
    bioMEMS; bioinformatics; biological organs; biotechnology; cellular biophysics; drugs; electrochemical sensors; inference mechanisms; ion mobility spectroscopy; lab-on-a-chip; mass spectroscopy; medical control systems; valves; automated model inference; automated optical microscopy; bioinformatics; cell density; chemical signaling; drug development pipeline; electrochemical sensors; fluid scaling; functional prototype components; human organ construction; integrated electronic control; integrated organ-on-chip systems; ion mobility-mass spectrometry; low-volume microdevices; machine learning algorithms; metabolic assessment; microHuman systems; microfabricated pumps; microformulators; milliHuman systems; organ functional activity; organs-on-chip microfabrication; physiological response sensing; real-time molecular analysis; size determination; system integration; systems biology; universal perfusion media; valves; Blood; Drugs; Humans; Optical sensors; Valves; Artificial biological organs; biological systems; biotechnology; systems biology; Artificial Organs; Biomedical Engineering; Humans; Microchip Analytical Procedures; Models, Biological; Systems Biology;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2244891
  • Filename
    6428627