Flexible Neural Interface From Non‐Transient Silk Fibroin With Outstanding Conformality, Biocompatibility, and Bioelectric Conductivity
Silk fibroin (SF) with good biocompatibility can enable an efficient and safe implementation of neural interfaces. However, it has been difficult to achieve a robust integration of patterned conducting materials (multichannel electrodes) on flexible SF film substrates due to the absence of some endu...
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Veröffentlicht in: | Advanced materials (Weinheim) 2024-11, Vol.36 (46), p.e2410007-n/a |
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Sprache: | eng |
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Zusammenfassung: | Silk fibroin (SF) with good biocompatibility can enable an efficient and safe implementation of neural interfaces. However, it has been difficult to achieve a robust integration of patterned conducting materials (multichannel electrodes) on flexible SF film substrates due to the absence of some enduring interactions. In this study, a thermo‐assisted pattern‐transfer technique is demonstrated that can facilely transfer a layer of pre‐set poly(3,4‐ethylenedioxythiophene) (PEDOT) onto the flexible SF substrate through an interpenetrating network of 2 polymer chains, achieving a desired substrate/conductor intertwined interface with good flexibility (≈33 MPa), conductivity (386 S cm−1) and stability in liquid state over 4 months simultaneously. Importantly, this technique can be combined with ink‐jet printing to prepare a multichannel SF‐based neural interface for the electrocorticogram (ECoG) recording and inflammation remission in rat models. The SF‐based neural interface with satisfied tissue conformability, biocompatibility, and bioelectric conductivity is a promising ECoG acquisition tool, where the demonstrated approach can also be useful to develop other SF‐based flexible bioelectronics.
By precisely controlling the interactions between silk fibroin (SF) and poly(3,4‐ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS), a robust and intertwined SF/PEDOT interface can be established. Leveraging this approach, a non‐transient SF‐based neural interface that possesses outstanding stability, conformality, biocompatibility, and bioelectric conductivity is developed. These features make it an ideal platform for the recording and monitoring of neural activities. |
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ISSN: | 0935-9648 1521-4095 1521-4095 |
DOI: | 10.1002/adma.202410007 |