生物电子学与触觉感知的拓扑交联网络

Mingqi Ding, Pengshan Xie, Johnny C. Ho
{"title":"生物电子学与触觉感知的拓扑交联网络","authors":"Mingqi Ding,&nbsp;Pengshan Xie,&nbsp;Johnny C. Ho","doi":"10.1002/apxr.202400165","DOIUrl":null,"url":null,"abstract":"<p>Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information-processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron-transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self-healing, self-powered, and multimodal-sensing capabilities. The development of TCN-based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems.</p>","PeriodicalId":100035,"journal":{"name":"Advanced Physics Research","volume":"4 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/apxr.202400165","citationCount":"0","resultStr":"{\"title\":\"Bioelectronics with Topological Crosslinked Networks for Tactile Perception\",\"authors\":\"Mingqi Ding,&nbsp;Pengshan Xie,&nbsp;Johnny C. Ho\",\"doi\":\"10.1002/apxr.202400165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information-processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron-transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self-healing, self-powered, and multimodal-sensing capabilities. The development of TCN-based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems.</p>\",\"PeriodicalId\":100035,\"journal\":{\"name\":\"Advanced Physics Research\",\"volume\":\"4 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/apxr.202400165\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Physics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/apxr.202400165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Physics Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/apxr.202400165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生物电子学将生物系统与电子元件集成在一起,在开发仿生材料和先进的硬件架构以实现新的信息处理系统、传感器和执行器方面引起了极大的关注。然而,共轭分子体系的刚性和静态交联结构中缺乏可重构性对柔性传感应用构成了重大挑战。具有动态分子相互作用的拓扑交联网络(tcn)提供了增强的分子灵活性和环境诱导的可重构性,解耦了性能之间的竞争。本文从分子相互作用的角度,综述了不同tcn的生物电子学组装方法的最新进展,并阐述了离子/电子传递机制。通过比较不同的tcn及其各自的特性,可以实现解耦效应,并展望了具有生物相容性、自修复、自供电和多模态传感能力的新型神经形态硬件。基于tcn的生物电子学的发展将对人工神经形态感知装置、网络和系统等领域产生重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bioelectronics with Topological Crosslinked Networks for Tactile Perception

Bioelectronics with Topological Crosslinked Networks for Tactile Perception

Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information-processing systems, sensors, and actuators. However, the rigidity of conjugated molecular systems and the lack of reconfigurability in static crosslinked structures pose significant challenges for flexible sensing applications. Topological crosslinked networks (TCNs) featuring dynamic molecular interactions offer enhanced molecular flexibility and environmentally induced reconfigurability, decoupling the competition between performances. Here, recent advances are summarized in assembly methods of bioelectronics with different TCNs and elaborate ion/electron-transport mechanisms from the perspective of molecular interactions. Decoupling effects can be achieved by comparing distinct TCNs and their respective properties, and an outlook is provided on a new range of neuromorphic hardware with biocompatibility, self-healing, self-powered, and multimodal-sensing capabilities. The development of TCN-based bioelectronics can significantly impact the fields of artificial neuromorphic perception devices, networks, and systems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信