{"title":"Latest Advances in Self-Powered Tactile Sensors Based on Triboelectric Effect: Materials, Structures, and Applications.","authors":"Moyao Li, Chao Xu, Shaoqi Zhu, Jiachen Ye, Xue Li","doi":"10.1002/smtd.202501552","DOIUrl":null,"url":null,"abstract":"<p><p>With the rapid development of flexible electronics and IoT technology, self-powered sensing has emerged as a research hotspot in wearable devices and intelligent human-machine interaction due to its ability to operate without an external power supply, offering significant value for sustainable energy applications. Among these technologies, triboelectric nanogenerator (TENG)-based (SPTS) exhibit great potential in real-time health monitoring, soft robotics, and smart interactive interfaces, owing to their efficient mechanical energy harvesting, high sensitivity, and structural diversity. Recent breakthroughs in functional materials and microstructure design have further enhanced the overall performance of SPTS. This review systematically summarizes key advances and challenges in material selection, structural design, and applications of SPTS. It begins by explaining the working mechanism and energy conversion process of TENG, discusses strategies for new material development and output enhancement, as well as methods to improve sensitivity, stability, and environmental adaptability. Furthermore, it analyzes structure-performance relationships in terms of micro/nano-structuring, flexible/stretchable design, and system-level integration. Emphasis is placed on innovative applications in medical health monitoring and smart industrial manufacturing. Finally, technical challenges related to material optimization, structural fabrication, and signal transmission are addressed, along with potential solutions and future research directions.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e01552"},"PeriodicalIF":9.1000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202501552","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of flexible electronics and IoT technology, self-powered sensing has emerged as a research hotspot in wearable devices and intelligent human-machine interaction due to its ability to operate without an external power supply, offering significant value for sustainable energy applications. Among these technologies, triboelectric nanogenerator (TENG)-based (SPTS) exhibit great potential in real-time health monitoring, soft robotics, and smart interactive interfaces, owing to their efficient mechanical energy harvesting, high sensitivity, and structural diversity. Recent breakthroughs in functional materials and microstructure design have further enhanced the overall performance of SPTS. This review systematically summarizes key advances and challenges in material selection, structural design, and applications of SPTS. It begins by explaining the working mechanism and energy conversion process of TENG, discusses strategies for new material development and output enhancement, as well as methods to improve sensitivity, stability, and environmental adaptability. Furthermore, it analyzes structure-performance relationships in terms of micro/nano-structuring, flexible/stretchable design, and system-level integration. Emphasis is placed on innovative applications in medical health monitoring and smart industrial manufacturing. Finally, technical challenges related to material optimization, structural fabrication, and signal transmission are addressed, along with potential solutions and future research directions.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.