High Performance Strain Sensor Based on Carbon Black/Graphene/Ecoflex for Human Health Monitoring and Vibration Signal Detection

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jianfang Xia, Lei He, Zhilai Lu*, Jianan Song, Qingshan Wang, Linpeng Liu and Yanling Tian, 
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Abstract

In recent years, there has been a significant surge of interest in flexible strain sensors within the domains of wearable electronics and human–computer interaction. However, as these fields continue to advance rapidly, there is an urgent need to improve the comprehensive performance of flexible strain sensors including sensitivity, sensing range, response speed, and durability. In this study, we address this issue by transferring carbon black/graphene (CB/Gr) conductive nanocomposites onto the surface of an Ecoflex flexible substrate, which has been pretreated using sandpaper to enhance adhesion. The resulting flexible strain sensor exhibits high sensitivity, with a gauge factor of 51.4, while offering a wide sensing range of 100%. Notably, this sensor demonstrates high performance across various aspects, including a fast response time (60 ms) and excellent durability (up to 4000 stretching–releasing cycles). The versatility of this sensor is evident in its ability to effectively monitor both small strain activities, such as speech recognition, and larger strain activities, such as elbow bending. Moreover, the sensor has demonstrated outstanding performance in various application scenarios, including human health and motion condition monitoring as well as acoustic wave and vibration signals detection. Consequently, this highlights the sensor’s remarkable adaptability and substantial potential for wide-range applications in these domains.

Abstract Image

基于炭黑/石墨烯/Ecoflex的高性能人体健康监测和振动信号检测应变传感器
近年来,在可穿戴电子和人机交互领域,人们对柔性应变传感器的兴趣激增。然而,随着这些领域的快速发展,迫切需要提高柔性应变传感器的综合性能,包括灵敏度、传感范围、响应速度和耐用性。在这项研究中,我们通过将炭黑/石墨烯(CB/Gr)导电纳米复合材料转移到Ecoflex柔性基板的表面来解决这个问题,该基板已使用砂纸进行预处理以增强附着力。由此产生的柔性应变传感器表现出高灵敏度,应变系数为51.4,同时提供100%的宽传感范围。值得注意的是,该传感器在各个方面都表现出了高性能,包括快速响应时间(60毫秒)和出色的耐用性(多达4000次拉伸-释放循环)。该传感器的多功能性表现在它能够有效监测小应变活动(如语音识别)和大应变活动(例如肘部弯曲)。此外,该传感器在各种应用场景中表现出出色的性能,包括人体健康和运动状况监测以及声波和振动信号检测。因此,这突出了传感器在这些领域的显著适应性和广泛应用的巨大潜力。
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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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