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Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues.
Gao, Hongyan; Wang, Zhien; Yang, Feiyu; Wang, Xiaoyu; Wang, Siqi; Zhang, Quan; Liu, Xiaomeng; Sun, Yubing; Kong, Jing; Yao, Jun.
Affiliation
  • Gao H; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Wang Z; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Yang F; Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Wang X; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Wang S; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Zhang Q; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Liu X; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Sun Y; Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Kong J; Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, 01003, USA.
  • Yao J; Department of Biomedical Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Nat Commun ; 15(1): 2321, 2024 Mar 14.
Article in En | MEDLINE | ID: mdl-38485708
ABSTRACT
Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.
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