共轭高分子在脑机接口中的应用与展望  

Application and Prospects of Conjugated Polymers in Brain-Computer Interfaces

作　　者：潘熙然 张志[1] 雷霆[1] Xi-ran Pan;Zhi Zhang;Ting Lei(Key Laboratory of Polymer Chemistry and Physics of Ministry of Education,School of Materials Science and Engineering,Peking University,Beijing 100871)

机构地区：[1]高分子化学与物理教育部重点实验室,北京大学材料科学与工程学院,北京100871

出　　处：《高分子学报》2025年第3期377-395,共19页Acta Polymerica Sinica

基　　金：北京市自然科学基金(基金号JQ22006)资助。

摘　　要：脑机接口能够在生物神经系统与电子设备之间建立双向通信,在神经科学研究、医疗康复和虚拟现实等领域发挥着重要作用.共轭高分子具有柔性、良好的生物相容性和优异的光电特性,在柔性脑机接口中展现出巨大潜力,有望实现更高效、稳定和长期的神经信号采集与传输.本综述总结了近年来共轭高分子材料在脑机接口领域的应用进展,介绍了导电共轭高分子电极在脑电信号采集中的应用,重点阐述了基于半导体共轭高分子的有机电化学晶体管器件在信号放大和提高信噪比等方面的独特优势.此外,还探讨了基于共轭高分子的水凝胶材料的潜力与发展现状,并总结了该领域的发展趋势及主要挑战.综合分析表明,共轭高分子在推动脑机接口多功能化和长期稳定监测方面具有广阔前景.未来研究应聚焦于开发高性能共轭高分子基水凝胶材料、优化器件结构和开展系统集成,以推动柔性脑机接口技术的发展.Conjugated polymers,with their flexibility,biocompatibility,and excellent electrical properties,demonstrate significant potential in flexible brain-computer interfaces(BCIs),offering prospects for more efficient,stable,and long-term neural signal acquisition and transmission.This review summarizes recent advances in applying conjugated polymers in BCIs,first introducing the use of conductive conjugated polymer electrodes for electrical signal acquisition,highlighting the the unique advantages of organic electrochemical transistor(OECT)devices based on semiconducting conjugated polymers in signal amplification and improving signal-to-noise ratio.In addition,the review explores the potential and current development of hydrogel materials derived from conjugated polymers,summarizing the trends and major challenges in this field.The review indicates that conjugated polymers hold significant potential for advancing BCI multifunctionality and ensuring long-term stable monitoring.We think future research should focus on the development of high-performance conjugated polymer-based hydrogels,device architecture optimization,and system-level integration to further advance flexible BCI technologies.

关 键 词：共轭高分子 脑机接口 神经电极 有机电化学晶体管 水凝胶 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]