Bocheng Wang, Boya Chang, Kerui Li, Qinghong Zhang, Yaogang Li, Hongzhi Wang, Kai Guo* and Chengyi Hou*,
{"title":"用于大范围高灵敏度应力检测的多模态传感智能皮肤系统。","authors":"Bocheng Wang, Boya Chang, Kerui Li, Qinghong Zhang, Yaogang Li, Hongzhi Wang, Kai Guo* and Chengyi Hou*, ","doi":"10.1021/acssensors.5c01539","DOIUrl":null,"url":null,"abstract":"<p >In natural environments, mechanical stress interactions manifest across multiple orders of magnitude in intensity. Conventional single-mechanism mechanical sensors exhibit constrained dynamic detection ranges, presenting fundamental limitations in concurrently resolving both subtle stresses and high-intensity impacts with optimal sensitivity. This inherent constraint necessitates the development of synergistic multitransduction sensing architectures combining triboelectric nanogenerators (TENG), mechanoluminescent (ML) materials, and piezoelectric materials to achieve biomimetic smart skin systems with broad-spectrum responsiveness. Inspired by the mechanosensory capabilities of human skin, this work introduces a multimodal sensing smart skin system capable of wide-range (0–130 MPa) and high-sensitivity stress detection by combining triboelectric nanogenerator (TENG) and mechanoluminescence (ML) technologies. Operating in self-powered mode, the system enables precise mechanical signal detection across this broad spectrum. The epidermal system incorporates three distinct sensing modalities that exhibit synergistic responses and mutual validation, achieving near-100% accuracy in stress identification. Extensive durability testing confirms the system’s robustness, withstanding over 10,000 impact cycles without structural degradation. Its versatile performance demonstrates significant potential in spatial recognition, warning detection, and human–machine interaction.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 8","pages":"6048–6057"},"PeriodicalIF":9.1000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multimodal Sensing Smart Skin System for Wide-Range and High-Sensitivity Stress Detection\",\"authors\":\"Bocheng Wang, Boya Chang, Kerui Li, Qinghong Zhang, Yaogang Li, Hongzhi Wang, Kai Guo* and Chengyi Hou*, \",\"doi\":\"10.1021/acssensors.5c01539\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >In natural environments, mechanical stress interactions manifest across multiple orders of magnitude in intensity. Conventional single-mechanism mechanical sensors exhibit constrained dynamic detection ranges, presenting fundamental limitations in concurrently resolving both subtle stresses and high-intensity impacts with optimal sensitivity. This inherent constraint necessitates the development of synergistic multitransduction sensing architectures combining triboelectric nanogenerators (TENG), mechanoluminescent (ML) materials, and piezoelectric materials to achieve biomimetic smart skin systems with broad-spectrum responsiveness. Inspired by the mechanosensory capabilities of human skin, this work introduces a multimodal sensing smart skin system capable of wide-range (0–130 MPa) and high-sensitivity stress detection by combining triboelectric nanogenerator (TENG) and mechanoluminescence (ML) technologies. Operating in self-powered mode, the system enables precise mechanical signal detection across this broad spectrum. The epidermal system incorporates three distinct sensing modalities that exhibit synergistic responses and mutual validation, achieving near-100% accuracy in stress identification. Extensive durability testing confirms the system’s robustness, withstanding over 10,000 impact cycles without structural degradation. Its versatile performance demonstrates significant potential in spatial recognition, warning detection, and human–machine interaction.</p>\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"10 8\",\"pages\":\"6048–6057\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acssensors.5c01539\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssensors.5c01539","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Multimodal Sensing Smart Skin System for Wide-Range and High-Sensitivity Stress Detection
In natural environments, mechanical stress interactions manifest across multiple orders of magnitude in intensity. Conventional single-mechanism mechanical sensors exhibit constrained dynamic detection ranges, presenting fundamental limitations in concurrently resolving both subtle stresses and high-intensity impacts with optimal sensitivity. This inherent constraint necessitates the development of synergistic multitransduction sensing architectures combining triboelectric nanogenerators (TENG), mechanoluminescent (ML) materials, and piezoelectric materials to achieve biomimetic smart skin systems with broad-spectrum responsiveness. Inspired by the mechanosensory capabilities of human skin, this work introduces a multimodal sensing smart skin system capable of wide-range (0–130 MPa) and high-sensitivity stress detection by combining triboelectric nanogenerator (TENG) and mechanoluminescence (ML) technologies. Operating in self-powered mode, the system enables precise mechanical signal detection across this broad spectrum. The epidermal system incorporates three distinct sensing modalities that exhibit synergistic responses and mutual validation, achieving near-100% accuracy in stress identification. Extensive durability testing confirms the system’s robustness, withstanding over 10,000 impact cycles without structural degradation. Its versatile performance demonstrates significant potential in spatial recognition, warning detection, and human–machine interaction.
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.