Qingyang Feng , Zhenning Xie , Yuzhang Wen , Zihang Cheng , Mengqi Zhang , Yunlu Wang , Dongsheng Liu , Yecheng Cao , Yupeng Mao , Chongle Zhao
{"title":"An eco-friendly, sodium alginate degradable conformal triboelectric nanogenerator for self-powered sensing and real-time injury monitoring","authors":"Qingyang Feng , Zhenning Xie , Yuzhang Wen , Zihang Cheng , Mengqi Zhang , Yunlu Wang , Dongsheng Liu , Yecheng Cao , Yupeng Mao , Chongle Zhao","doi":"10.1016/j.susmat.2025.e01262","DOIUrl":null,"url":null,"abstract":"<div><div>Sodium alginate (SA) is a natural polysaccharide extracted from the kelp or sargassum of brown algae that has been attracting the attention of researchers for its non-toxicity, water-solubility, biocompatibility and degradability. Based on the unique properties of sodium alginate, a conformal triboelectric nanogenerator (SG-TENG) has been successfully fabricated in this study, which can realize self-powered sensing and real-time injury monitoring. By adding a certain proportion of glycerol as a plasticizer to the sodium alginate solution, the flexibility and adhesion of the sodium alginate film are improved to facilitate the generation of triboelectric charges. The SG-TENG exhibits excellent electrical output performance with an open-circuit voltage of 49 V, a peak power of 108.8 μW and a fast response time of 86 ms, which can be sufficient powered small electronic devices. More importantly, the application of SG-TENG for knee injury monitoring not only realizes the real-time tracking of knee joint movement status but also provides early warning of potential injuries. Combined with advanced narrow neural network technology for in-depth analysis of knee motion data, the accuracy of sensing signal recognition reached 97.96 %. It provides valuable data support for the treatment and rehabilitation of knee osteoarthritis, which can help enhance the therapeutic effect and improve the quality of life of patients' lives. This study not only provides new ideas for the development of degradable and eco-friendly TENG based on marine plants, but also demonstrates a great potential of SG-TENG in the field of real-time monitoring of human injuries, which opens up a new path for future health monitoring technology.</div></div>","PeriodicalId":22097,"journal":{"name":"Sustainable Materials and Technologies","volume":"43 ","pages":"Article e01262"},"PeriodicalIF":8.6000,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Materials and Technologies","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214993725000302","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Sodium alginate (SA) is a natural polysaccharide extracted from the kelp or sargassum of brown algae that has been attracting the attention of researchers for its non-toxicity, water-solubility, biocompatibility and degradability. Based on the unique properties of sodium alginate, a conformal triboelectric nanogenerator (SG-TENG) has been successfully fabricated in this study, which can realize self-powered sensing and real-time injury monitoring. By adding a certain proportion of glycerol as a plasticizer to the sodium alginate solution, the flexibility and adhesion of the sodium alginate film are improved to facilitate the generation of triboelectric charges. The SG-TENG exhibits excellent electrical output performance with an open-circuit voltage of 49 V, a peak power of 108.8 μW and a fast response time of 86 ms, which can be sufficient powered small electronic devices. More importantly, the application of SG-TENG for knee injury monitoring not only realizes the real-time tracking of knee joint movement status but also provides early warning of potential injuries. Combined with advanced narrow neural network technology for in-depth analysis of knee motion data, the accuracy of sensing signal recognition reached 97.96 %. It provides valuable data support for the treatment and rehabilitation of knee osteoarthritis, which can help enhance the therapeutic effect and improve the quality of life of patients' lives. This study not only provides new ideas for the development of degradable and eco-friendly TENG based on marine plants, but also demonstrates a great potential of SG-TENG in the field of real-time monitoring of human injuries, which opens up a new path for future health monitoring technology.
期刊介绍:
Sustainable Materials and Technologies (SM&T), an international, cross-disciplinary, fully open access journal published by Elsevier, focuses on original full-length research articles and reviews. It covers applied or fundamental science of nano-, micro-, meso-, and macro-scale aspects of materials and technologies for sustainable development. SM&T gives special attention to contributions that bridge the knowledge gap between materials and system designs.