Mechanoluminescent/Electric Dual‐Mode Sensors Enabled by Trace Carbon Nanotubes
Mechanoluminescence (ML)-based sensors are emerging as promising wearable devices, attracting attention for their self-powered visualization of mechanical stimuli. However, challenges such as weak brightness, high activation threshold, and intermittent signal output have hindered their development. Here, a mechanoluminescent/electric dual-mode strain sensor is presented that offers enhanced ML sensing and reliable electrical sensing simultaneously. The strain sensor is fabricated via an optimized dip-coating method, featuring a sandwich structure with a single-walled carbon nanotube (SWNT) interlayer and two polydimethylsiloxane (PDMS)/ZnS:Cu luminescence layers. The integral mechanical reinforcement framework provided by the SWNT interlayer improves the ML intensity of the SWNT/PDMS/ZnS:Cu composite film. Compared to conventional nanoparticle fillers, the ML intensity is enhanced nearly tenfold with a trace amount of SWNT (only 0.01 wt.%). In addition, the excellent electrical conductivity of SWNT forms a conductive network, ensuring continuous and stable electrical sensing. These strain sensors enable comprehensive and precise monitoring of human behavior through both electrical (relative resistance change) and optical (ML intensity) methods, paving the way for the development of advanced visual sensing and smart wearable electronics in the future.
Authors
- Lin Dong (ORCID: https://orcid.org/0000-0002-4126-6812)
- Shuge Dai (ORCID: https://orcid.org/0000-0003-0718-2559)
- Yuan Deng (ORCID: https://orcid.org/0000-0001-8585-1178)
- Danni Peng
- Yuanyuan Shang (ORCID: https://orcid.org/0000-0003-2466-5720)
- Shulong Chang (ORCID: https://orcid.org/0000-0003-4593-9567)
- Wenjing Liu (ORCID: https://orcid.org/0000-0001-5081-9047)
- Chongxin Shan
- Kaiying Zhang
Institutions
- Hunan Institute of Engineering (CN)
- Zhengzhou University (CN)
Publication Details
- Journal
- Small
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1002/smll.202406398
- Citations
- 9
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 1.66
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China