{"title":"Ant-Inspired Ion Gel Sensor for Dual-Mode Detection of Force and Humidity via Magnetic Induction","authors":"Boyi Xu, Jinsui Xu, Haoran Ou, Feihu Song, Zheping Wang, Ye Tian, Yifan Lu, Zhangqing Duan, Fei Yang, Yitong Zhou","doi":"10.1021/acssensors.5c00032","DOIUrl":null,"url":null,"abstract":"In the realm of intelligent sensing, the development of multifunctional, highly sensitive, wide-ranging, and durable flexible sensors remains a formidable challenge. This paper introduces a dual-mode ionic gel sensor, inspired by the sensory mechanisms of ants and developed through magnetically induced technology capable of simultaneously detecting environmental humidity and pressure. The humidity sensor is fabricated from a prestretched, buckled poly(vinyl alcohol) (PVA) ionic gel with microstructures, exhibiting rapid response and high durability. The voltage signal of the humidity sensor decreases linearly with increasing relative humidity (RH). The pressure sensor employs a capacitive structure, integrating magnetically induced fiber pilose structures with ionic gel, achieving a high sensitivity of 7.375 kPa<sup>–1</sup> and an excellent linear response over a broad pressure range from 0.5 Pa to 95 kPa. In the context of human motion monitoring, the sensor accurately captures physiological signals, such as pulse beats and joint movements while concurrently detecting skin humidity. Additionally, by leveraging deep learning algorithms, the sensor attains a remarkable 99.21% accuracy in object recognition within flexible intelligent sorting systems, underscoring its potential in smart logistics sorting applications. This study transcends the traditional limitations of capacitive pressure sensors regarding sensitivity and detection range, offering novel solutions for applications in motion monitoring and intelligent logistics sorting.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"27 1","pages":""},"PeriodicalIF":8.2000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.5c00032","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
摘要
在智能传感领域,开发多功能、高灵敏度、大范围和耐用的柔性传感器仍然是一项艰巨的挑战。本文介绍了一种双模离子凝胶传感器,其灵感来源于蚂蚁的感觉机制,并通过磁感应技术开发而成,能够同时检测环境湿度和压力。该湿度传感器是由具有微结构的预拉伸、扣压聚乙烯醇(PVA)离子凝胶制成的,具有响应速度快、耐用性高等特点。湿度传感器的电压信号随相对湿度(RH)的增加而线性下降。压力传感器采用电容式结构,将磁感应纤维柔毛结构与离子凝胶融为一体,灵敏度高达 7.375 kPa-1,并在 0.5 Pa 至 95 kPa 的宽压力范围内具有出色的线性响应。在人体运动监测方面,该传感器可准确捕捉脉搏跳动和关节运动等生理信号,同时检测皮肤湿度。此外,通过利用深度学习算法,该传感器在灵活的智能分拣系统中的物体识别准确率达到了惊人的 99.21%,彰显了其在智能物流分拣应用中的潜力。这项研究突破了电容式压力传感器在灵敏度和检测范围方面的传统限制,为运动监测和智能物流分拣应用提供了新颖的解决方案。
Ant-Inspired Ion Gel Sensor for Dual-Mode Detection of Force and Humidity via Magnetic Induction
In the realm of intelligent sensing, the development of multifunctional, highly sensitive, wide-ranging, and durable flexible sensors remains a formidable challenge. This paper introduces a dual-mode ionic gel sensor, inspired by the sensory mechanisms of ants and developed through magnetically induced technology capable of simultaneously detecting environmental humidity and pressure. The humidity sensor is fabricated from a prestretched, buckled poly(vinyl alcohol) (PVA) ionic gel with microstructures, exhibiting rapid response and high durability. The voltage signal of the humidity sensor decreases linearly with increasing relative humidity (RH). The pressure sensor employs a capacitive structure, integrating magnetically induced fiber pilose structures with ionic gel, achieving a high sensitivity of 7.375 kPa–1 and an excellent linear response over a broad pressure range from 0.5 Pa to 95 kPa. In the context of human motion monitoring, the sensor accurately captures physiological signals, such as pulse beats and joint movements while concurrently detecting skin humidity. Additionally, by leveraging deep learning algorithms, the sensor attains a remarkable 99.21% accuracy in object recognition within flexible intelligent sorting systems, underscoring its potential in smart logistics sorting applications. This study transcends the traditional limitations of capacitive pressure sensors regarding sensitivity and detection range, offering novel solutions for applications in motion monitoring and intelligent logistics sorting.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.