Mechanoluminescent/Electric Dual-Mode Sensors Enabled by Trace Carbon Nanotubes

IF 13 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Small Pub Date : 2024-10-02 DOI:10.1002/smll.202406398
Kaiying Zhang, Shulong Chang, Yuanyuan Shang, Wenjin Liu, Danni Peng, Yuan Deng, Shuge Dai, Chong-Xin Shan, Lin Dong
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Abstract

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.

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利用痕量碳纳米管实现的机械发光/电学双模传感器
基于机械发光(ML)的传感器正在成为前景广阔的可穿戴设备,因其对机械刺激的自供电可视化而备受关注。然而,亮度弱、激活阈值高和信号输出断断续续等挑战阻碍了它们的发展。本文介绍了一种机械发光/电学双模应变传感器,可同时提供增强的机械发光传感和可靠的电学传感。该应变传感器通过优化的浸涂方法制造而成,具有单壁碳纳米管(SWNT)夹层和两个聚二甲基硅氧烷(PDMS)/ZnS:Cu 发光层的三明治结构。SWNT 夹层提供的整体机械增强框架提高了 SWNT/PDMS/ZnS:Cu 复合薄膜的 ML 强度。与传统的纳米粒子填料相比,微量的 SWNT(仅 0.01 wt.%)就能将 ML 强度提高近十倍。此外,SWNT 的优异导电性还能形成导电网络,确保连续稳定的电传感。这些应变传感器可通过电学(相对电阻变化)和光学(ML 强度)方法对人类行为进行全面而精确的监测,为未来开发先进的视觉传感和智能可穿戴电子产品铺平了道路。
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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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