Jaehyon Kim, Yewon Kim, Kyoungryong Kim, Hyunjin Jung, Duhwan Seong, Mikyung Shin, Donghee Son
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引用次数: 0
Abstract
Recently, implantable devices for treating peripheral nerve disorders have demonstrated significant potential as neuroprosthetics for diagnostics and electrical stimulation. However, the mechanical mismatch between these devices and nerves frequently results in tissue damage and performance degradation. Although advances are made in stretchable electrodes, challenges, including complex patterning techniques and unstable performance, persist. Herein, an efficient method for developing a tissue-adhesive, stiffness-adaptive peripheral neural interface (TA-SA-PNI) is presented employing mechanically and electrically stable ultrathin conductive micro/nanomembrane bilayer (UC-MNB) electrodes. A direct laser-patterning technique is utilized to anchor the UC-MNB, comprising a conductive Cu micromembrane encapsulated by a biocompatible Au nanomembrane, onto a tough self-healing polymer (T-SHP) substrate using the thermoplastic properties of T-SHP. The UC-MNB with a wavy structure exhibited strain-insensitive performance under strains of up to 60%. Furthermore, its dynamic stress-relaxation properties enable stiffness adaptation, potentially minimizing chronic nerve compression. Finally, the phenylboronic acid-conjugated alginate (Alg-BA) adhesive layer offers stable tissue adhesion and ionic conductivity, optimizing the TA-SA-PNI for seamless integration into neural applications. Leveraging these advantages, in vivo demonstrations of bidirectional neural pathways are successfully conducted, featuring stable measurements of sensory neural signals and feedback electrical stimulation of the sciatic nerves of rats.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.