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Structurally Aligned Multifunctional Neural Probe (SAMP) Using Forest-Drawn CNT Sheet onto Thermally Drawn Polymer Fiber for Long-Term In Vivo Operation

Authors
Jeon, WoojinLee, Jae MyeongKim, YejiLee, YunheumWon, JoonheeLee, SominSon, WonkyeongKoo, Yong HoeHong, Ji-WonGwac, HocheolJoo, JinmyoungKim, Seon JeongChoi, ChangsoonPark, Seongjun
Issue Date
Jul-2024
Publisher
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords
carbon nanotube sheet; chronic usage; fiber; neural probe; thermal drawing process
Citation
Advanced Materials, v.36, no.27, pp 1 - 13
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
Advanced Materials
Volume
36
Number
27
Start Page
1
End Page
13
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202167
DOI
10.1002/adma.202313625
ISSN
0935-9648
1521-4095
Abstract
Neural probe engineering is a dynamic field, driving innovation in neuroscience and addressing scientific and medical demands. Recent advancements involve integrating nanomaterials to improve performance, aiming for sustained in vivo functionality. However, challenges persist due to size, stiffness, complexity, and manufacturing intricacies. To address these issues, a neural interface utilizing freestanding CNT-sheets drawn from CNT-forests integrated onto thermally drawn functional polymer fibers is proposed. This approach yields a device with structural alignment, resulting in exceptional electrical, mechanical, and electrochemical properties while retaining biocompatibility for prolonged periods of implantation. This Structurally Aligned Multifunctional neural Probe (SAMP) employing forest-drawn CNT sheets demonstrates in vivo capabilities in neural recording, neurotransmitter detection, and brain/spinal cord circuit manipulation via optogenetics, maintaining functionality for over a year post-implantation. The straightforward fabrication method's versatility, coupled with the device's functional reliability, underscores the significance of this technique in the next-generation carbon-based implants. Moreover, the device's longevity and multifunctionality position it as a promising platform for long-term neuroscience research.
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