4.7 Article

Highly Stretchable Metal-Polymer Conductor Electrode Array for Electrophysiology

期刊

ADVANCED HEALTHCARE MATERIALS
卷 10, 期 4, 页码 -

出版社

WILEY
DOI: 10.1002/adhm.202000641

关键词

flexible electronics; liquid metal-polymer conductors; neural interfaces; stretchable electrode arrays

资金

  1. National Natural Science Foundation of China [81730051, 21761142006, 21535001]
  2. Guangdong Province Introduction of Innovative RD Team [2019ZT08Y191]
  3. Shenzhen Science and Technology Program [KQTD20190929172743294]
  4. National Key R&D Program of China [2018YFA0902600, 2017YFA0205901]
  5. Chinese Academy of Sciences [QYZDJ-SSW-SLH039]
  6. Shenzhen Bay Laboratory [SZBL2019062801004]
  7. Tencent Foundation through the XPLORER PRIZE

向作者/读者索取更多资源

The highly stretchable electrode array based on the liquid metal-polymer conductor achieves high mechanical flexibility and good cytocompatibility for neural interfaces. It exhibits high stretchability and excellent cycling stability, allowing for long-term culturing of primary neurons and signal recording, which could significantly advance brain-machine interfaces.
Narrowing the mechanical mismatch between biological tissues (typically soft) and neural interfaces (hard) is essential for maintaining signal quality for the electrical recording of neural activity. However, only a few materials can satisfy all requirements for such electronics, which need to be both biocompatible and sufficiently soft. Here, a highly stretchable electrode array (SEA) is introduced, based on the liquid metal-polymer conductor (MPC), achieving high mechanical flexibility and good cytocompatability for neural interfaces. By utilizing the MPC, the SEA exhibits high stretchability (approximate to 100%) and excellent cycling stability (>400 cycles). The cytocompatability of the SEA can allow for long-term culturing of primary neurons and enable signal recording of primary hippocampal neurons. In the future, the SEA could serve as a reliable and robust platform for diagnostics in neuronal tissues and greatly advance brain-machine interfaces.

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