Back to Search
Start Over
Strain Sensors with a High Sensitivity and a Wide Sensing Range Based on a Ti3C2Tx (MXene) Nanoparticle–Nanosheet Hybrid Network.
- Source :
- Advanced Functional Materials; 4/4/2019, Vol. 29 Issue 14, pN.PAG-N.PAG, 1p
- Publication Year :
- 2019
-
Abstract
- A high sensitivity and large stretchability are desirable for strain sensors in wearable applications. However, these two performance indicators are contradictory, since the former requires a conspicuous structural change under a tiny strain, whereas the latter demands morphological integrity upon a large deformation. Developing strain sensors with both a high sensitivity (gauge factor (GF) > 100) and a broad strain range (>50%) is a considerable challenge. Herein, a unique Ti3C2Tx MXene nanoparticle–nanosheet hybrid network is constructed. The migration of nanoparticles leads to a large resistance variation while the wrapping of nanosheet bridges the detached nanoparticles to maintain the connectivity of the conductive pathways in a large strain region. The synergetic motion of nanoparticles and nanosheets endows the hybrid network with splendid electrical–mechanical performance, which is reflected in its high sensitivity (GF > 178.4) over the entire broad range (53%), the super low detection limit (0.025%), and a good cycling durability (over 5000 cycles). Such high performance endows the strain sensor with the capability for full‐range human motion detection. A strain sensor based on a Ti3C2Tx nanoparticle‐nanosheet hybrid network exhibits high sensitivity over the entire broad range due to the synergetic motion of nanoparticles and nanosheets and a constrained microcrack propagation mechanism. The migration of nanoparticles leads to a large resistance variation while the wrapping of the nanosheets bridges the nanoparticles and maintains the connectivity of the conductive pathways. [ABSTRACT FROM AUTHOR]
- Subjects :
- STRAIN sensors
DETECTION limit
KEY performance indicators (Management)
Subjects
Details
- Language :
- English
- ISSN :
- 1616301X
- Volume :
- 29
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Advanced Functional Materials
- Publication Type :
- Academic Journal
- Accession number :
- 135668746
- Full Text :
- https://doi.org/10.1002/adfm.201807882