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Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology
Author(s) -
Jinghua Li,
Enming Song,
ChiaHan Chiang,
Ki Jun Yu,
Jahyun Koo,
Haina Du,
Yishan Zhong,
Mackenna Hill,
Charles Wang,
Jize Zhang,
Yisong Chen,
Limei Tian,
Yiding Zhong,
Guanhua Fang,
Jonathan Viventi,
John A. Rogers
Publication year - 2018
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1813187115
Subject(s) - materials science , nanotechnology , silicon , biointerface , silicon dioxide , electrode , optoelectronics , computer science , chemistry , metallurgy
Materials and structures that enable long-term, intimate coupling of flexible electronic devices to biological systems are critically important to the development of advanced biomedical implants for biological research and for clinical medicine. By comparison with simple interfaces based on arrays of passive electrodes, the active electronics in such systems provide powerful and sometimes essential levels of functionality; they also demand long-lived, perfect biofluid barriers to prevent corrosive degradation of the active materials and electrical damage to the adjacent tissues. Recent reports describe strategies that enable relevant capabilities in flexible electronic systems, but only for capacitively coupled interfaces. Here, we introduce schemes that exploit patterns of highly doped silicon nanomembranes chemically bonded to thin, thermally grown layers of SiO 2 as leakage-free, chronically stable, conductively coupled interfaces. The results can naturally support high-performance, flexible silicon electronic systems capable of amplified sensing and active matrix multiplexing in biopotential recording and in stimulation via Faradaic charge injection. Systematic in vitro studies highlight key considerations in the materials science and the electrical designs for high-fidelity, chronic operation. The results provide a versatile route to biointegrated forms of flexible electronics that can incorporate the most advanced silicon device technologies with broad applications in electrical interfaces to the brain and to other organ systems.

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