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Adaptive biohybrid pumping machine with flow loop feedback.

Zhengwei Li1, William C Balance2, Md Saddam Hossain Joy1

  • 1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.

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|January 19, 2022
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Summary
This summary is machine-generated.

Researchers developed an adaptive, autonomous biohybrid pump using engineered living muscles. This living machine self-assembles and uses flow feedback to manage pumping performance, showing potential in bioengineering applications.

Keywords:
biohybrid machineflow loop feedbackpump-bottissue engineering

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Area of Science:

  • Bioengineering
  • Tissue Engineering
  • Biomedical Devices

Background:

  • Tissue-engineered living machines integrate cells and scaffolds for biohybrid systems.
  • Autonomous biohybrid systems offer novel solutions for scientific research and technological applications.

Purpose of the Study:

  • To develop an adaptive, autonomous biohybrid pumping machine powered by engineered living muscles.
  • To investigate the self-assembly and feedback-controlled operation of a living pump.

Main Methods:

  • Engineered skeletal muscle cells (C2C12) and a collagen I/Matrigel matrix were used to create a self-assembling muscle ring.
  • The muscle ring was integrated with a hydrogel tube and fluidic platform to create an impedance pump.
  • A flow loop feedback mechanism was implemented to allow adaptive pumping control.

Main Results:

  • The engineered muscle tissue self-assembled into a contractile ring, autonomously squeezing a hydrogel tube.
  • The biohybrid pump demonstrated repetitive contractions, generating fluid flow.
  • The system exhibited adaptive pumping performance in response to flow feedback.

Conclusions:

  • A novel, autonomous biohybrid pumping system powered by engineered living muscles was successfully developed.
  • The integration of engineered tissue with fluidic feedback enables adaptive control of pumping performance.
  • This living machine technology holds significant potential for applications in health, medicine, and bioengineering.