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MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition

As water‐saturated polymer networks, hydrogels are a growing family of soft materials that have recently become promising candidates for flexible electronics application. However, it remains still difficult for hydrogel‐based strain sensors to achieve the organic unity of mechanical properties, elec...

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Autores principales: Zhao, Lianjia, Xu, Hao, Liu, Lingchen, Zheng, Yiqiang, Han, Wei, Wang, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602575/
https://www.ncbi.nlm.nih.gov/pubmed/37672883
http://dx.doi.org/10.1002/advs.202303922
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author Zhao, Lianjia
Xu, Hao
Liu, Lingchen
Zheng, Yiqiang
Han, Wei
Wang, Lili
author_facet Zhao, Lianjia
Xu, Hao
Liu, Lingchen
Zheng, Yiqiang
Han, Wei
Wang, Lili
author_sort Zhao, Lianjia
collection PubMed
description As water‐saturated polymer networks, hydrogels are a growing family of soft materials that have recently become promising candidates for flexible electronics application. However, it remains still difficult for hydrogel‐based strain sensors to achieve the organic unity of mechanical properties, electrical conductivity, and water retention. To address this challenge, based on the template, the excellent properties of MXene nanoflakes (rich surface functional groups, high specific surface area, hydrophilicity, and conductivity) are fully utilized in this study to prepare the P(AA‐co‐AM)/MXene@PDADMAC semi‐interpenetrating network (semi‐IPN) hydrogel. The proposed hydrogel continues to exhibit excellent strain response and flexibility after 30 days of storage at room temperature, and its performance do not decrease after 1100 cycles. Considering these characteristics, a hydrogel‐based device for converting sign language into Chinese characters is successfully developed and optimized using machine learning. Therefore, this study provides novel insight and application directions for hydrogel families.
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spelling pubmed-106025752023-10-27 MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition Zhao, Lianjia Xu, Hao Liu, Lingchen Zheng, Yiqiang Han, Wei Wang, Lili Adv Sci (Weinh) Research Articles As water‐saturated polymer networks, hydrogels are a growing family of soft materials that have recently become promising candidates for flexible electronics application. However, it remains still difficult for hydrogel‐based strain sensors to achieve the organic unity of mechanical properties, electrical conductivity, and water retention. To address this challenge, based on the template, the excellent properties of MXene nanoflakes (rich surface functional groups, high specific surface area, hydrophilicity, and conductivity) are fully utilized in this study to prepare the P(AA‐co‐AM)/MXene@PDADMAC semi‐interpenetrating network (semi‐IPN) hydrogel. The proposed hydrogel continues to exhibit excellent strain response and flexibility after 30 days of storage at room temperature, and its performance do not decrease after 1100 cycles. Considering these characteristics, a hydrogel‐based device for converting sign language into Chinese characters is successfully developed and optimized using machine learning. Therefore, this study provides novel insight and application directions for hydrogel families. John Wiley and Sons Inc. 2023-09-06 /pmc/articles/PMC10602575/ /pubmed/37672883 http://dx.doi.org/10.1002/advs.202303922 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhao, Lianjia
Xu, Hao
Liu, Lingchen
Zheng, Yiqiang
Han, Wei
Wang, Lili
MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title_full MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title_fullStr MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title_full_unstemmed MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title_short MXene‐Induced Flexible, Water‐Retention, Semi‐Interpenetrating Network Hydrogel for Ultra‐Stable Strain Sensors with Real‐Time Gesture Recognition
title_sort mxene‐induced flexible, water‐retention, semi‐interpenetrating network hydrogel for ultra‐stable strain sensors with real‐time gesture recognition
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602575/
https://www.ncbi.nlm.nih.gov/pubmed/37672883
http://dx.doi.org/10.1002/advs.202303922
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