An Ultra-Sensitive and Multifunctional Electronic Skin with Synergetic Network of Graphene and CNT.
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| Title: | An Ultra-Sensitive and Multifunctional Electronic Skin with Synergetic Network of Graphene and CNT. |
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| Authors: | Wang, Yu1,2 (AUTHOR), Cui, Tian-Rui1,2 (AUTHOR), Gou, Guang-Yang1,2 (AUTHOR), Li, Xiao-Shi1,2 (AUTHOR), Qiao, Yan-Cong1,2 (AUTHOR), Li, Ding1,2 (AUTHOR), Xu, Jian-Dong1,2 (AUTHOR), Guo, Yi-Zhe1,2 (AUTHOR), Tian, He1,2 (AUTHOR) tianhe88@tsinghua.edu.cn, Yang, Yi1,2 (AUTHOR) tianhe88@tsinghua.edu.cn, Ren, Tian-Ling1,2,3 (AUTHOR) tianhe88@tsinghua.edu.cn |
| Source: | Nanomaterials (2079-4991). Jan2023, Vol. 13 Issue 1, p179. 12p. |
| Subjects: | Knee joint, Graphene, Signal detection, Detection limit, Thin films, Carbon nanotubes, Skin, Neck |
| Abstract: | Electronic skin (e-skin) has attracted tremendous interest due to its diverse potential applications, including in physiological signal detection, health monitoring, and artificial throats. However, the major drawbacks of traditional e-skin are the weak adhesion of substrates, incompatibility between sensitivity and stretchability, and its single function. These shortcomings limit the application of e-skin and increase the complexity of its multifunctional integration. Herein, the synergistic network of crosslinked SWCNTs within and between multilayered graphene layers was directly drip coated onto the PU thin film with self-adhesion to fabricate versatile e-skin. The excellent mechanical properties of prepared e-skin arise from the sufficient conductive paths guaranteed by SWCNTs in small and large deformation under various strains. The prepared e-skin exhibits a low detection limit, as small as 0.5% strain, and compatibility between sensitivity and stretchability with a gauge factor (GF) of 964 at a strain of 0–30%, and 2743 at a strain of 30–60%. In physiological signals detection application, the e-skin demonstrates the detection of subtle motions, such as artery pulse and blinking, as well as large body motions, such as knee joint bending, elbow movement, and neck movement. In artificial throat application, the e-skin integrates sound recognition and sound emitting and shows clear and distinct responses between different throat muscle movements and different words for sound signal acquisition and recognition, in conjunction with superior sound emission performance with a sound spectrum response of 71 dB (f = 12.5 kHz). Overall, the presented comprehensive study of novel materials, structures, properties, and mechanisms offers promising potential in physiological signals detection and artificial throat applications. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Electronic skin (e-skin) has attracted tremendous interest due to its diverse potential applications, including in physiological signal detection, health monitoring, and artificial throats. However, the major drawbacks of traditional e-skin are the weak adhesion of substrates, incompatibility between sensitivity and stretchability, and its single function. These shortcomings limit the application of e-skin and increase the complexity of its multifunctional integration. Herein, the synergistic network of crosslinked SWCNTs within and between multilayered graphene layers was directly drip coated onto the PU thin film with self-adhesion to fabricate versatile e-skin. The excellent mechanical properties of prepared e-skin arise from the sufficient conductive paths guaranteed by SWCNTs in small and large deformation under various strains. The prepared e-skin exhibits a low detection limit, as small as 0.5% strain, and compatibility between sensitivity and stretchability with a gauge factor (GF) of 964 at a strain of 0–30%, and 2743 at a strain of 30–60%. In physiological signals detection application, the e-skin demonstrates the detection of subtle motions, such as artery pulse and blinking, as well as large body motions, such as knee joint bending, elbow movement, and neck movement. In artificial throat application, the e-skin integrates sound recognition and sound emitting and shows clear and distinct responses between different throat muscle movements and different words for sound signal acquisition and recognition, in conjunction with superior sound emission performance with a sound spectrum response of 71 dB (f = 12.5 kHz). Overall, the presented comprehensive study of novel materials, structures, properties, and mechanisms offers promising potential in physiological signals detection and artificial throat applications. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20794991 |
| DOI: | 10.3390/nano13010179 |
