基于微流控模式的弹性热塑性聚氨酯/石墨烯微针网界面在神经类器官电生理中的应用。

IF 16 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
ACS Nano Pub Date : 2025-10-17 DOI:10.1021/acsnano.5c08827
Yan Wu,Renjie Mei,Yujie Zhou,Jie Qi,Chen Hang,Xingyu Jiang
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引用次数: 0

摘要

将电子设备连接到大脑和神经类器官对于建立人机界面,探索神经系统的复杂机制以及开发治疗方法至关重要。然而,由于这些三维(3D)神经组织的表面高度不规则,严重限制了电极与组织的接触,因此电生理监测仍然具有挑战性。在这里,我们提出了一种可拉伸网状电极阵列,集成了弹性石墨烯微针,用于与人类神经类器官及其组件相连接。该装置是通过微流控图形技术制造的,实现了低成本和可重复性的生产。石墨烯微针(50-100 μm高度)与液态金属聚合物导体(MPC)无缝连接,在可拉伸的网状结构中相互连接。石墨烯微针和MPC互连在200%应变下保持结构完整性。这种结构增强了多位点电极组织接触,使自发和刺激诱发的电生理活动的记录成为可能。超过60%的通道被激活,超过了商用平面电极的性能。这种生物相容性界面克服了柔性电子器件与神经类器官表面不规则性之间的机械不匹配,为研究3D模型中的紧急神经网络行为提供了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic Thermoplastic Polyurethane/Graphene Microneedle-Mesh Interfaces via Microfluidic Patterning for Electrophysiology in Neural Organoids.
Connecting electronics to the brain and neural organoids is critical for establishing machine-human interfaces, exploring complex mechanisms of the nervous system, and developing theranostic approaches. However, electrophysiological monitoring of these three-dimensional (3D) nervous tissues remains challenging due to their highly irregular surfaces, which severely limit electrode-tissue contact. Here, we present a stretchable mesh electrode array integrated with elastic graphene microneedles for interfacing with human neural organoids and their assemblies. The device is fabricated via microfluidic patterning technology, enabling low-cost and reproducible production. Graphene microneedles (50-100 μm in height) seamlessly interconnected with liquid metal-polymer conductor (MPC) interconnects within the stretchable mesh architecture. Graphene microneedles and MPC interconnects retain structural integrity under 200% strain. This configuration enhances multisite electrode-tissue contact, enabling recordings of spontaneous and stimulus-evoked electrophysiological activity. Over 60% of channels were activated, surpassing the performance of commercial planar electrodes. This biocompatible interface overcomes the mechanical mismatch between flexible electronics and the surface irregularities of neural organoids, providing an avenue for investigating emergent neural network behaviors in 3D models.
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来源期刊
ACS Nano
ACS Nano 工程技术-材料科学:综合
CiteScore
26.00
自引率
4.10%
发文量
1627
审稿时长
1.7 months
期刊介绍: ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.
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