Wireless Ti 3 C 2 T x MXene Strain Sensor with Ultrahigh Sensitivity and Designated Working Windows for Soft Exoskeletons

Emerging soft exoskeletons pose urgent needs for high-performance strain sensors with tunable linear working windows to achieve a high-precision control loop. Still, the state-of-the-art strain sensors require further advances to simultaneously satisfy multiple sensing parameters, including high sen...

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Veröffentlicht in:ACS nano 2020-09, Vol.14 (9), p.11860-11875
Hauptverfasser: Yang, Haitao, Xiao, Xiao, Li, Zhipeng, Li, Kerui, Cheng, Nicholas, Li, Shuo, Low, Jin Huat, Jing, Lin, Fu, Xuemei, Achavananthadith, Sippanat, Low, Fanzhe, Wang, Qian, Yeh, Po-Len, Ren, Hongliang, Ho, John S, Yeow, Chen-Hua, Chen, Po-Yen
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Sprache:eng
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Zusammenfassung:Emerging soft exoskeletons pose urgent needs for high-performance strain sensors with tunable linear working windows to achieve a high-precision control loop. Still, the state-of-the-art strain sensors require further advances to simultaneously satisfy multiple sensing parameters, including high sensitivity, reliable linearity, and tunable strain ranges. Besides, a wireless sensing system is highly desired to enable facile monitoring of soft exoskeleton in real time, but is rarely investigated. Herein, wireless Ti C T MXene strain sensing systems were fabricated by developing hierarchical morphologies on piezoresistive layers and incorporating regulatory resistors into circuit designs as well as integrating the sensing circuit with near-field communication (NFC) technology. The wireless MXene sensor system can simultaneously achieve an ultrahigh sensitivity (gauge factor ≥ 14,000) and reliable linearity ( ≈ 0.99) within multiple user-designated high-strain working windows (130% to ≥900%). Additionally, the wireless sensing system can collectively monitor the multisegment exoskeleton actuations through a single database channel, largely reducing the data processing loading. We finally integrate the wireless, battery-free MXene e-skin with various soft exoskeletons to monitor the complex actuations that assist hand/leg rehabilitation.
ISSN:1936-0851
1936-086X
DOI:10.1021/acsnano.0c04730