Customizable 3D Microelectrode Arrays Enabled by Two-Photon Polymerization and Liquid Metal Integration for Neural Interface Applications

IF 10.9 1区 化学 Q1 CHEMISTRY, ANALYTICAL
ACS Sensors Pub Date : 2026-09-25 Epub Date: 2026-08-25 DOI:10.1021/acssensors.6c02036
Seoyeon Won, Alexandra M. Boyadzhiev, Qian Zhou, Junseo Park, Yantao Fan, Sijia Huang, Taehwan Lim, Huanan Zhang
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引用次数: 0

Abstract

Conventional silicon-based microfabrication with both 2D and 3D geometries has enabled increasingly sophisticated neural microelectrode arrays; however, the inherent rigidity of silicon fundamentally limits both the mechanical compliance necessary for chronic implantation in soft neural tissues and the geometric customizability achievable through microfabrication processes. Here, we present a silicon-free strategy in which soft polymeric 3D neural microelectrode arrays are fabricated via customizable two-photon polymerization (2PP) and readily functionalized as electrodes by simple injection of liquid-phase gallium (Ga) into the printed hollow channels. The liquid Ga confinement in the 3D-printed hollow microneedle is characterized by a newly defined “retention number (Rt)” enabling the prediction of stable Ga confinement under physiological conditions. Also, to overcome the high impedance arising from the natively formed oxide on Ga, the microelectrode surface was modified with gold nanoparticles and then poly(3,4-ethylenedioxythiophene) with tetrafluoroborate dopants (BF4) (PEDOT:BF4), resulting in an approximately 3-order-of-magnitude decrease in impedance and improved electrochemical stability. Lastly, in vivo recordings in an invertebrate model successfully captured neural spiking activity with no Ga electrode leakage from the microelectrodes. These results demonstrate an effective strategy for integrating liquid metal electrodes into customizable 2PP 3D-printed structures, offering a versatile platform for next-generation soft bioelectronic devices.

Abstract Image

基于双光子聚合和液态金属集成的可定制3D微电极阵列用于神经接口应用
传统的基于硅的二维和三维几何结构的微加工使得越来越复杂的神经微电极阵列成为可能;然而,硅固有的刚性从根本上限制了软神经组织长期植入所需的机械顺应性和通过微加工工艺实现的几何可定制性。在这里,我们提出了一种无硅策略,通过可定制的双光子聚合(2PP)制造软聚合物3D神经微电极阵列,并且通过简单地将液相镓(Ga)注入印刷的空心通道中,很容易实现电极的功能化。3d打印空心微针中的液态Ga约束具有新定义的“保留数(Rt)”,可以预测生理条件下稳定的Ga约束。此外,为了克服Ga上天然形成的氧化物产生的高阻抗,用金纳米颗粒修饰微电极表面,然后用四氟硼酸盐掺杂剂(BF4)修饰聚(3,4-乙烯二氧噻吩)(PEDOT:BF4),导致阻抗降低约3个数量级,提高了电化学稳定性。最后,在无脊椎动物模型的体内记录中,成功捕获了微电极没有Ga电极泄漏的神经尖峰活动。这些结果证明了将液态金属电极集成到可定制的2PP 3d打印结构中的有效策略,为下一代软生物电子设备提供了一个多功能平台。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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