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Adhesive bioelectronics for sutureless epicardial interfacing

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Title
Adhesive bioelectronics for sutureless epicardial interfacing
Author(s)
Heewon Choi; Yewon Kim; Sumin Kim; Hyunjin Jung; Sungjun Lee; Kyoungryong Kim; Han, Hyung-Seop; Kim, Ju Youn; Mikyung Shin; Donghee Son
Publication Date
2023-10
Journal
Nature Electronics, v.6, no.10, pp.779 - 789
Publisher
NATURE PUBLISHING GROUP
Abstract
Bioadhesive devices can be used to create conformable tissue-device interfaces without suturing. However, the development of such technology faces challenges related to the need for external stimuli or long periods of time for tissue adhesion, fatigue-related breakdown of the stretchable electrodes and the use of solid substrates with non-uniform surface coverage of the tissue. Here, we report a bioelectronic patch that is capable of instantaneous and conformable tissue adhesion on a heart for precise cardiac monitoring. The patch is composed of three layers: an ionically conductive tissue adhesive, a viscoelastic networked film and a fatigue-resistant conducting composite. The system provides conformable tissue adhesion in less than 0.5 s without external stimuli, spontaneous modulus matching based on efficient strain adaptivity and small resistance changes of less than 0.2% at 50.0% tensile strain after 1,000 stretching cycles. We show that the patch can be used for the long-term measurement of electrocardiogram signals (up to four weeks of implantation) in awake rats without causing tissue damage, as well as spatiotemporal mapping in a myocardial ischaemia reperfusion model. A bioelectronic patch that is composed of three layers-an ionically conductive tissue adhesive, a viscoelastic networked film and a fatigue-resistant conducting composite-is capable of instantaneous and conformable tissue adhesion on a heart for precise cardiac monitoring and feedback stimulation.
URI
https://pr.ibs.re.kr/handle/8788114/14053
DOI
10.1038/s41928-023-01023-w
ISSN
2520-1131
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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