1. Reliable sensors based on graphene textile with negative resistance variation in three dimensions
- Author
-
Wen-Peng Han, Linxin Liu, He Gong, Yi-Jun Wu, Guozhen Shen, Meng-Fei Li, Yun-Ze Long, and Yan Junxiang
- Subjects
Materials science ,Textile ,Negative resistance ,Oxide ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,law.invention ,chemistry.chemical_compound ,law ,General Materials Science ,Sensitivity (control systems) ,Electrical and Electronic Engineering ,Composite material ,Electrical conductor ,Graphene ,business.industry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Durability ,Pressure sensor ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,chemistry ,0210 nano-technology ,business - Abstract
The weft-knitted reduced graphene oxide (r-GO) textile that is made up of many conductive r-GO coated fibers was successfully prepared dependent on the electrospray deposition technique. Interestingly, the r-GO textile presents negative resistance variation not only in axial direction as the pressure increases but also in transverse direction as the lateral stretch increases which makes it has the advantage to fabricate the reliable sensors based on strain-resistance effect. The transverse-strain and pressure sensors based on the r-GO textiles all show the excellent sensing characteristics such as high sensitivity, reliability, and good durability, etc. The maximum gauge factors (GF) of the transverse-sensor are 27.1 and 153.5 in the x- and y-direction, respectively. And the practical detection range can up to 40% in the x-direction and 35% in the y-direction, respectively. The r-GO textile pressure sensor also shows high sensitivity for a broad pressure range that with a GF up to 716.8 kPa−1 for less than 4.5 kPa region and still has more sensitive pressure sensing characteristics even the pressure goes up to 14 kPa. Based on those good performances of r-GO textile sensors, its potential applications in human body states monitoring have been studied.
- Published
- 2021