基于高效热收缩微皱swcnts /rGO-PDMS的大范围、高稳定智能柔性压力传感器。

IF 4.9 3区 工程技术 Q1 CHEMISTRY, ANALYTICAL
Lei Fan, Zhaoxin Wang, Tao Yang, Qiang Zhao, Zhixin Wu, Yijie Wang, Xue Qi, Lei Zhang
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引用次数: 0

摘要

柔性压力传感器在人体生理信号监测和人机交互等领域受到越来越多的关注。然而,在保证其长期稳定性的同时,实现宽检测范围、小压力测试极限和高灵敏度仍然是一个重大挑战。本文以动物皮肤上的褶皱为灵感,设计了一种具有褶皱微结构的柔性压力传感器。该传感器由还原氧化石墨烯(rGO)、单壁碳纳米管(SWCNTs)和聚二甲基硅氧烷(PDMS)的复合材料组成。在优化复合材料配比的基础上,采用高效热收缩薄膜制备了柔性压力传感器。其灵敏度高达15.364 kPa-1。由于微结构皱褶,该传感器可以实现超宽的压力检测范围,最大可达1150 kPa,并且能够在最小水平上检测水波振动。此外,PDMS还锁定了皱褶微结构。该传感器具有良好的防水性能,提高了传感器的机械稳定性。即使经过18000次反复加载和卸载,其性能仍保持不变。结合人工神经网络,实现了对抓取不同物体时不同声音和姿势的高精度识别,准确率分别达到98.3333%和99.1111%。通过集成灵活的WIFI,实现了传感数据的实时无线传输。总的来说,所研究的传感器可以促进柔性压力传感器在溺水监测、远程中医、智能语音等领域的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Wide-Range, Highly Stable Intelligent Flexible Pressure Sensor Based on Micro-Wrinkled SWCNT/rGO-PDMS with Efficient Thermal Shrinkage.

Flexible pressure sensors have drawn growing attention in areas like human physiological signal monitoring and human-computer interaction. Nevertheless, it still remains a significant challenge to guarantee their long-term stability while attaining a wide detection range, a minute pressure testing limit, and high sensitivity. Inspired by the wrinkles on animal skins, this paper introduces a flexible pressure sensor with wrinkled microstructures. This sensor is composed of a composite of reduced graphene oxide (rGO), single-walled carbon nanotubes (SWCNTs), and polydimethylsiloxane (PDMS). After optimizing the proportion of the composite materials, the flexible pressure sensor was manufactured using highly efficient heat-shrinkable films. It has a sensitivity as high as 15.364 kPa-1. Owing to the wrinkled microstructures, the sensor can achieve an ultra-wide pressure detection range, with the maximum reaching 1150 kPa, and is capable of detecting water wave vibrations at the minimum level. Moreover, the wrinkled microstructures were locked by PDMS. The sensor acquired waterproof performance and its mechanical stability was enhanced. Even after 18,000 cycles of repeated loading and unloading, its performance remained unchanged. By combining with an artificial neural network, high-precision recognition of different sounds and postures when grasping different objects was realized, with the accuracies reaching 98.3333% and 99.1111%, respectively. Through the integration of flexible WIFI, real-time wireless transmission of sensing data was made possible. In general, the studied sensor can facilitate the application of flexible pressure sensors in fields such as drowning monitoring, remote traditional Chinese medicine, and intelligent voice.

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来源期刊
Biosensors-Basel
Biosensors-Basel Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.60
自引率
14.80%
发文量
983
审稿时长
11 weeks
期刊介绍: Biosensors (ISSN 2079-6374) provides an advanced forum for studies related to the science and technology of biosensors and biosensing. It publishes original research papers, comprehensive reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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