MoS2 nanoflowers and PEDOT:PSS nanocomposite enabling wearable dual-mode pressure sensors

被引:0
|
作者
Wang, FengMing [1 ]
Yang, WeiJia [1 ]
Ma, Ke [1 ]
Shen, GengZhe [2 ]
Su, DaoJian [1 ,3 ]
Li, BaiJun [1 ]
Wang, ShuangPeng [3 ]
Qin, BoLong [1 ]
Zhang, Chi [1 ]
Xin, Yue [1 ]
Cao, XiaoBing [1 ]
He, Xin [1 ]
机构
[1] Wuyi Univ, Sch Appl Phys & Mat, Jiangmen 529020, Peoples R China
[2] Zhuhai Inst Adv Technol, Chinese Acad Sci, Biomat R&D Ctr, Zhuhai 519003, Peoples R China
[3] Univ Macau, Inst Appl Phys & Mat Engn, Joint Key Lab, Minist Educ, Macau 999078, Peoples R China
关键词
MoS2/PEDOT:PSS nanocomposite; force-sensitive sensor; multi-scaled microstructure; physiological signals monitoring; object grasping recognition; ELECTRONIC SKIN;
D O I
10.1007/s11431-023-2550-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A versatile sensing platform employing inorganic MoS2 nanoflowers and organic poly(3,4-ethylene dioxythiophene): poly (styrene sulfonate) (PEDOT:PSS) has been investigated to develop the resistive and capacitive force-sensitive devices. The microstructure of the sensing layer heightens the sensitivity and response time of the dual-mode pressure sensors by augmenting electron pathways and inner stress in response to mechanical stimuli. Consequently, the capacitive and resistive sensors exhibit sensitivities of 0.37 and 0.12 kPa(-1), respectively, while demonstrating a remarkable response time of approximately 100 ms. Furthermore, it is noteworthy that the PEDOT:PSS layer exhibits excellent adhesion to polydimethylsiloxane (PDMS) substrates, which contributes to the development of highly robust force sensitive sensors capable of enduring more than 10000 loading/unloading cycles. The combination of MoS2/PEDOT:PSS layers in these dual-mode sensors has shown promising results in detecting human joint movements and subtle physiological signals. Notably, the sensors have achieved a remarkable precision rate of 98% in identifying target objects. These outcomes underscore the significant potential of these sensors for integration into applications such as electronic skin and human-machine interaction.
引用
收藏
页码:1737 / 1747
页数:11
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