Supertough and ultrasensitive flexible electronic skin based on nanocellulose/sulfonated carbon nanotube hydrogel films,Journal of Materials Chemistry A

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Supertough and ultrasensitive flexible electronic skin based on nanocellulose/sulfonated carbon nanotube hydrogel films
Journal of Materials Chemistry A ( IF 10.7 ) Pub Date : 2020/02/27 , DOI: 10.1039/d0ta00158a
Haiyu Xu _{1,

2,

3,

4,

5} , Yuanyuan Xie _{2,

3,

4,

5} , Enwen Zhu _{2,

3,

4,

5} , Yan Liu _{2,

3,

4,

5} , Zhuqun Shi _{1,

2,

3,

4,

5} , Chuanxi Xiong _{2,

3,

4,

5} , Quanling Yang _{2,

3,

4,

5}

Affiliation

With increasing interest and demand for wearable sensor devices, fabricating a flexible hydrogel film sensor combining high strength and high sensitivity for monitoring human physiological signals is necessary but remains challenging. Recently, we have successfully prepared flexible piezoresistive electronic skin (E-skin) using 2,2,6,6-tetramethylpiperidinyl-1-oxyl (TEMPO)-oxidized cellulose nanofibrils (TOCNs) and sulfonated multi-walled carbon nanotubes (SCNTs). The flexible sensor exhibited an extremely high sensitivity of about 4.4 kPa⁻¹, an ultrafast response time below 10 ms, an ultralow detection limit of 0.5 Pa, good stability (>11 000 cycles) and a mechanical strength of up to 184 MPa. At the same time, the pressure sensor had the advantages of a simple preparation process, low time consumption, low cost and good biocompatibility. With the popularity of smart terminal devices, the flexible sensor has great application prospects in the fields of future wearable electronic devices, health monitoring, motion monitoring, intelligent prosthetics, and artificial intelligence.

中文翻译：

基于纳米纤维素/磺化碳纳米管水凝胶膜的超韧超灵敏柔性电子皮肤

随着对可穿戴传感器装置的兴趣和需求的增加，制造一种具有高强度和高灵敏度的柔性水凝胶膜传感器以监测人体生理信号是必要的，但仍然具有挑战性。最近，我们已经成功地使用2,2,6,6-四甲基哌啶基-1-氧基（TEMPO）氧化的纤维素纳米纤丝（TOCNs）和磺化的多壁碳纳米管（SCNTs）制备了柔性压阻电子皮肤（E-skin）。柔性传感器表现出约4.4 kPa ^-1的极高灵敏度，低于10毫秒的超快响应时间，0.5 Pa的超低检测极限，良好的稳定性（> 11 000个循环）以及高达184 MPa的机械强度。同时，该压力传感器具有制备过程简单，耗时少，成本低，生物相容性好的优点。随着智能终端设备的普及，柔性传感器在未来可穿戴电子设备，健康监测，运动监测，智能修复和人工智能领域具有广阔的应用前景。

更新日期：2020-04-01

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