4.6 Article

Mushroom-mimetic 3D hierarchical architecture-based e-skin with high sensitivity and a wide sensing range for intelligent perception

Journal

MATERIALS HORIZONS
Volume 10, Issue 12, Pages 5666-5676

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d3mh00679d

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Electronic skin plays an important role in future wearable electronic devices. In this study, mushroom-mimetic micropatterns were prepared to improve the sensing performance of e-skin. By spraying carbon nanotube dispersion, the sensitive layer of the e-skin was further enhanced. The resulting e-skin exhibits high sensitivity, wide pressure sensing range, short response time, and excellent durability. It can precisely monitor health conditions and recognize Morse code underwater. This research provides a cost-efficient and convenient strategy for designing e-skin for future wearable intelligent systems.
Electronic skin (e-skin) is one of the most important components of future wearable electronic devices, whose sensing performances can be improved by constructing micropatterns on its sensitive layer. However, in traditional e-skins it is difficult to balance sensitivity and the pressure sensing range, and most micropatterns are generally prepared by some complex technologies. Herein, mushroom-mimetic micropatterns with 3D hierarchical architecture and an interdigital electrode are facilely prepared. The micropatterned sensitive layer is further developed through spraying carbon nanotube (CNT) dispersion on the thermoplastic polyurethane (TPU) film with mushroom-mimetic micropatterns (denoted as MMTC). Thanks to the interlocking effect between mushroom-mimetic micropatterns and the interdigital electrode in the as-prepared MMTC/interdigital electrode e-skin, the e-skin exhibits a high sensitivity (up to 600 kPa(-1)), a wide pressure sensing range (up to 150 kPa), a short response time (<20 ms) and excellent durability (15 000 cycles). The MMTC/interdigital electrode e-skin is capable of precisely monitoring health conditions via the as-acquired physiological parameters in real time. Moreover, such e-skins can be used to monitor gestures wirelessly, sense the trajectory of pressure stimuli and recognize Morse code under water. This study provides a cost-efficient, facile strategy to design e-skin for future-oriented wearable intelligent systems.

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