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  5. Programmable Hydrogel Ionic Circuits for Biologically Matched Electronic Interfaces

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Article
en
2018

Programmable Hydrogel Ionic Circuits for Biologically Matched Electronic Interfaces

0 Datasets

0 Files

en
2018
Vol 30 (25)
Vol. 30
DOI: 10.1002/adma.201800598

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David Kaplan
David Kaplan

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Siwei Zhao
Peter Tseng
Jonathan M. Grasman
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Abstract

The increased need for wearable and implantable medical devices has driven the demand for electronics that interface with living systems. Current bioelectronic systems have not fully resolved mismatches between engineered circuits and biological systems, including the resulting pain and damage to biological tissues. Here, salt/poly(ethylene glycol) (PEG) aqueous two-phase systems are utilized to generate programmable hydrogel ionic circuits. High-conductivity salt-solution patterns are stably encapsulated within PEG hydrogel matrices using salt/PEG phase separation, which route ionic current with high resolution and enable localized delivery of electrical stimulation. This strategy allows designer electronics that match biological systems, including transparency, stretchability, complete aqueous-based connective interface, distribution of ionic electrical signals between engineered and biological systems, and avoidance of tissue damage from electrical stimulation. The potential of such systems is demonstrated by generating light-emitting diode (LED)-based displays, skin-mounted electronics, and stimulators that deliver localized current to in vitro neuron cultures and muscles in vivo with reduced adverse effects. Such electronic platforms may form the basis of future biointegrated electronic systems.

How to cite this publication

Siwei Zhao, Peter Tseng, Jonathan M. Grasman, Yu Wang, Wenyi Li, Bradley Napier, Burçin Yavuz, Ying Chen, Laurel Howell, J. Orcajo Rincón, Fiorenzo G. Omenetto, David Kaplan (2018). Programmable Hydrogel Ionic Circuits for Biologically Matched Electronic Interfaces. , 30(25), DOI: https://doi.org/10.1002/adma.201800598.

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Publication Details

Type

Article

Year

2018

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.201800598

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