详细信息

Flexible hemispheric microarrays of highly pressure-sensitive sensors based on breath figure method  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Flexible hemispheric microarrays of highly pressure-sensitive sensors based on breath figure method

作者:Wang, Zhihui[1];Zhang, Ling[1];Liu, Jin[1];Jiang, Hao[1];Li, Chunzhong[1]

机构:[1]East China Univ Sci & Technol, Sch Mat Sci & Engn, Key Lab Ultrafine Mat, Minist Educ, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份:2018

卷号:10

期号:22

起止页码:10691

外文期刊名:NANOSCALE

收录:;EI(收录号:20182405307152);WOS:【SCI-EXPANDED(收录号:WOS:000434692000043)】;

基金:This work was supported by the National Natural Science Foundation of China (51673063, 91534202), the Basic Research Program of Shanghai (15JC1401300, 17JC1402300), the Social Development Program of Shanghai (17DZ1200900), and the Fundamental Research Funds for the Central Universities (222201718002).

语种:英文

外文关键词:Wearable sensors - Honeycomb structures - Real time systems - Speech recognition

摘要:Recently, flexible pressure sensors featuring high sensitivity, broad sensing range and real-time detection have aroused great attention owing to their crucial role in the development of artificial intelligent devices and healthcare systems. Herein, highly sensitive pressure sensors based on hemisphere-microarray flexible substrates are fabricated via inversely templating honeycomb structures deriving from a facile and static breath figure process. The interlocked and subtle microstructures greatly improve the sensing characteristics and compressibility of the as-prepared pressure sensor, endowing it a sensitivity as high as 196 kPa(-1) and a wide pressure sensing range (0-100 kPa), as well as other superior performance, including a lower detection limit of 0.5 Pa, fast response time (<26 ms) and high reversibility (>10000 cycles). Based on the outstanding sensing performance, the potential capability of our pressure sensor in capturing physiological information and recognizing speech signals has been demonstrated, indicating promising application in wearable and intelligent electronics.

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