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Ultracomfortable Hierarchical Nanonetwork for Highly Sensitive Pressure Sensor.
- Source :
-
ACS nano [ACS Nano] 2020 Aug 25; Vol. 14 (8), pp. 9605-9612. Date of Electronic Publication: 2020 Aug 03. - Publication Year :
- 2020
-
Abstract
- Skin sensors are of paramount importance for flexible wearable electronics, which are active in medical diagnosis and healthcare monitoring. Ultrahigh sensitivity, large measuring range, and high skin conformability are highly desirable for skin sensors. Here, an ultrathin flexible piezoresistive sensor with high sensitivity and wide detection range is reported based on hierarchical nanonetwork structured pressure-sensitive material and nanonetwork electrodes. The hierarchical nanonetwork material is composed of silver nanowires (Ag NWs), graphene (GR), and polyamide nanofibers (PANFs). Among them, Ag NWs are evenly interspersed in a PANFs network, forming conductive pathways. Also, GR acts as bridges of crossed Ag NWs. The hierarchical nanonetwork structure and GR bridges of the pressure-sensitive material enable the ultrahigh sensitivity for the pressure sensor. More specifically, the sensitivity of 134 kPa <superscript>-1</superscript> (0-1.5 kPa) and the low detection of 3.7 Pa are achieved for the pressure sensor. Besides, the nanofibers act as a backbone, which provides effective protection for Ag NWs and GR as pressure is applied. Hence, the pressure sensor possesses an excellent durability (>8000 cycles) and wide detection range (>75 kPa). Additionally, ultrathin property (7 μm) and nanonetwork structure provide high skin conformability for the pressure sensor. These superior performances lay a foundation for the application of pressure sensors in physiological signal monitoring and pressure spatial distribution detection.
- Subjects :
- Pressure
Graphite
Nanofibers
Nanowires
Wearable Electronic Devices
Subjects
Details
- Language :
- English
- ISSN :
- 1936-086X
- Volume :
- 14
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- ACS nano
- Publication Type :
- Academic Journal
- Accession number :
- 32692150
- Full Text :
- https://doi.org/10.1021/acsnano.9b10230