Siti Aisyah Nurmaulia Entifar , Nisa Aqilla Ellenahaya Entifar , Anky Fitrian Wibowo , Jung Ha Kim , Yulia Shara br Sembiring , Jonatan Martino Windi Saputro , Han-Gyeol Kim , Jong-Oh Kim , Guohua Xie , Junghwan Oh , Soyeon Kim , Dong Chan Lim , Myoung-Woon Moon , Min-Seok Kim , Yong Hyun Kim
{"title":"用于多功能可穿戴传感器和渗透发电机的极低电滞水凝胶","authors":"Siti Aisyah Nurmaulia Entifar , Nisa Aqilla Ellenahaya Entifar , Anky Fitrian Wibowo , Jung Ha Kim , Yulia Shara br Sembiring , Jonatan Martino Windi Saputro , Han-Gyeol Kim , Jong-Oh Kim , Guohua Xie , Junghwan Oh , Soyeon Kim , Dong Chan Lim , Myoung-Woon Moon , Min-Seok Kim , Yong Hyun Kim","doi":"10.1016/j.cej.2025.160971","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, a highly stretchable and conductive hydrogel film composed of carboxymethyl cellulose (CMC), polyvinyl alcohol (PVA), and poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) was developed for application in wearable sensors, machine learning-based activity recognition, and hydrovoltaic energy generation. The optimized hydrogel exhibited a tensile strength of 0.391 MPa, an elongation at break of 303.8 %, a toughness of 0.525 MJ/m<sup>3</sup>, a conductivity of 2.04 S/m, and a low electrical hysteresis of 0.101 % at 50 % strain. With a gauge factor of 1.034, the hydrogel accurately detected human motions and achieved 100 % classification accuracy in classifying movements using machine learning. In hydrovoltaic applications, 16 films connected in series generated 2.01 V, powering a light-emitting diode lamp. These results highlight the potential of the CMC-PVA-PEDOT:PSS-based hydrogel for next-generation wearable electronics and sustainable energy systems.</div></div>","PeriodicalId":270,"journal":{"name":"Chemical Engineering Journal","volume":"509 ","pages":"Article 160971"},"PeriodicalIF":13.2000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extremely-low electrical-hysteresis hydrogels for multifunctional wearable sensors and osmotic power generators\",\"authors\":\"Siti Aisyah Nurmaulia Entifar , Nisa Aqilla Ellenahaya Entifar , Anky Fitrian Wibowo , Jung Ha Kim , Yulia Shara br Sembiring , Jonatan Martino Windi Saputro , Han-Gyeol Kim , Jong-Oh Kim , Guohua Xie , Junghwan Oh , Soyeon Kim , Dong Chan Lim , Myoung-Woon Moon , Min-Seok Kim , Yong Hyun Kim\",\"doi\":\"10.1016/j.cej.2025.160971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, a highly stretchable and conductive hydrogel film composed of carboxymethyl cellulose (CMC), polyvinyl alcohol (PVA), and poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) was developed for application in wearable sensors, machine learning-based activity recognition, and hydrovoltaic energy generation. The optimized hydrogel exhibited a tensile strength of 0.391 MPa, an elongation at break of 303.8 %, a toughness of 0.525 MJ/m<sup>3</sup>, a conductivity of 2.04 S/m, and a low electrical hysteresis of 0.101 % at 50 % strain. With a gauge factor of 1.034, the hydrogel accurately detected human motions and achieved 100 % classification accuracy in classifying movements using machine learning. In hydrovoltaic applications, 16 films connected in series generated 2.01 V, powering a light-emitting diode lamp. These results highlight the potential of the CMC-PVA-PEDOT:PSS-based hydrogel for next-generation wearable electronics and sustainable energy systems.</div></div>\",\"PeriodicalId\":270,\"journal\":{\"name\":\"Chemical Engineering Journal\",\"volume\":\"509 \",\"pages\":\"Article 160971\"},\"PeriodicalIF\":13.2000,\"publicationDate\":\"2025-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1385894725017929\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1385894725017929","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Extremely-low electrical-hysteresis hydrogels for multifunctional wearable sensors and osmotic power generators
In this study, a highly stretchable and conductive hydrogel film composed of carboxymethyl cellulose (CMC), polyvinyl alcohol (PVA), and poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) was developed for application in wearable sensors, machine learning-based activity recognition, and hydrovoltaic energy generation. The optimized hydrogel exhibited a tensile strength of 0.391 MPa, an elongation at break of 303.8 %, a toughness of 0.525 MJ/m3, a conductivity of 2.04 S/m, and a low electrical hysteresis of 0.101 % at 50 % strain. With a gauge factor of 1.034, the hydrogel accurately detected human motions and achieved 100 % classification accuracy in classifying movements using machine learning. In hydrovoltaic applications, 16 films connected in series generated 2.01 V, powering a light-emitting diode lamp. These results highlight the potential of the CMC-PVA-PEDOT:PSS-based hydrogel for next-generation wearable electronics and sustainable energy systems.
期刊介绍:
The Chemical Engineering Journal is an international research journal that invites contributions of original and novel fundamental research. It aims to provide an international platform for presenting original fundamental research, interpretative reviews, and discussions on new developments in chemical engineering. The journal welcomes papers that describe novel theory and its practical application, as well as those that demonstrate the transfer of techniques from other disciplines. It also welcomes reports on carefully conducted experimental work that is soundly interpreted. The main focus of the journal is on original and rigorous research results that have broad significance. The Catalysis section within the Chemical Engineering Journal focuses specifically on Experimental and Theoretical studies in the fields of heterogeneous catalysis, molecular catalysis, and biocatalysis. These studies have industrial impact on various sectors such as chemicals, energy, materials, foods, healthcare, and environmental protection.