Microconfined Assembly of High-Resolution and Mechanically Robust EGaIn Liquid Metal Stretchable Electrodes for Wearable Electronic Systems.
Jingxuan MaZicheng SaHe ZhangJiayun FengJiayue WenShang WangYanhong TianPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Stretchable electrodes based on liquid metals (LM) are widely used in human-machine interfacing, wearable bioelectronics, and other emerging technologies. However, realizing the high-precision patterning and mechanical stability remains challenging due to the poor wettability of LM. Herein, a method is reported to fabricate LM-based multilayer solid-liquid electrodes (m-SLE) utilizing electrohydrodynamic (EHD) printed confinement template. In these electrodes, LM self-assembled onto these high-resolution templates, assisted by selective wetting on the electrodeposited Cu layer. This study shows that a m-SLE composed of PDMS/Ag/Cu/EGaIn exhibits line width of ≈20 µm, stretchability of ≈100%, mechanical stability ≈10 000 times (stretch/relaxation cycles), and recyclability. The multi-layer structure of m-SLE enables the adjustability of strain sensing, in which the strain-sensitive Ag part can be used for non-distributed detection in human health monitoring and the strain-insensitive EGaIn part can be used as interconnects. In addition, this study demonstrates that near field communication (NFC) devices and multilayer displays integrated by m-SLEs exhibit stable wireless signal transmission capability and stretchability, suggesting its applicability in creating highly-integrated, large-scale commercial, and recyclable wearable electronics.
Keyphrases
- human health
- high resolution
- systemic lupus erythematosus
- risk assessment
- heart rate
- reduced graphene oxide
- disease activity
- endothelial cells
- ionic liquid
- rheumatoid arthritis
- machine learning
- health risk
- tandem mass spectrometry
- high speed
- drinking water
- metal organic framework
- label free
- molecularly imprinted
- neural network
- health risk assessment