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Implantable Multi-Cross-Linked Membrane-Ionogel Assembly for Reversible Non-Faradaic Neurostimulation

Authors
Kim, Joo SungKim, JunhoLim, Jun WooKim, Dong JunLee, Jong IkChoi, HanbinKweon, HyukminLee, JihoYee, HyeonoKim, Ji HongKim, BokyungKang, Moon SungJeong, Jae HyunPark, Sung-MinKim, Do Hwan
Issue Date
Jul-2023
Publisher
AMER CHEMICAL SOC
Keywords
conformable neural interface; soft conductors; multicross-linked membrane-ionogel assembly; overactivebladder syndrome; nonfaradaic neurostimulation
Citation
ACS NANO, v.17, no.15, pp.14706 - 14717
Journal Title
ACS NANO
Volume
17
Number
15
Start Page
14706
End Page
14717
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/44245
DOI
10.1021/acsnano.3c02637
ISSN
1936-0851
Abstract
Neural interfaces play a major role in modulating neuralsignalsfor therapeutic purposes. To meet the demand of conformable neuralinterfaces for developing bioelectronic medicine, recent studies havefocused on the performance of electrical neurostimulators employingsoft conductors such as conducting polymers and electronic or ionicconductive hydrogels. However, faradaic charge injection at the interfaceof the electrode and nerve tissue causes irreversible gas evolution,oxidation of electrodes, and reduction of biological ions, thus causingundesired tissue damage and electrode degradation. Here we reporta conformable neural interface engineering based on multicross-linkedmembrane-ionogel assembly (termed McMiA), which enables nonfaradaicneurostimulation without irreversible charge transfer reaction. TheMcMiA consists of a genipin-cross-linked biopolymeric ionogel coupledwith a dopamine-cross-linked graphene oxide membrane to prevent ionexchange between biological and synthetic McMiA ions and to functionas a bioadhesive forming covalent bonds with the target tissues. Inaddition, the demonstration of bioelectronic medicine via the McMiA-basedneurostimulation of sciatic nerves shows the enhanced clinical utilityin treating the overactive bladder syndrome. As the McMiA-based neuralinterface is soft, robust for bioadhesion, and stable in a physiologicalenvironment, it can offer significant advancement in biocompatibilityand long-term operability for neural interface engineering.
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