Highly Transparent, Self-Healing, and Self-Adhesive Double Network Hydrogel for Wearable Sensors
文献类型：期刊论文
| 作者 | Chen, Kai3,4; Liu, Mingxiang3; Wang, Feng3; Hu, Yunping3; Liu, Pei3; Li, Cong1; Du, Qianqian1; Yu, Yongsheng5; Xiao, Xiufeng3; Feng, Qian2,3 |
| 刊名 | FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
 |
| 出版日期 | 2022-02-07 |
| 卷号 | 10页码:11 |
| 关键词 | double network hydrogel transparent self-healing adhesive wearable strain sensor |
| ISSN号 | 2296-4185 |
| DOI | 10.3389/fbioe.2022.846401 |
| 通讯作者 | Yu, Yongsheng(yongshengy@126.com) ; Xiao, Xiufeng(xfxiao@fjnu.edu.cn) ; Feng, Qian(qianfeng@cqu.edu.cn) |
| 英文摘要 | Hydrogel-based flexible electronic devices are essential in future healthcare and biomedical applications, such as human motion monitoring, advanced diagnostics, physiotherapy, etc. As a satisfactory flexible electronic material, the hydrogel should be conductive, ductile, self-healing, and adhesive. Herein, we demonstrated a unique design of mechanically resilient and conductive hydrogel with double network structure. The Ca2+ crosslinked alginate as the first dense network and the ionic pair crosslinked polyzwitterion as the second loose network. With the synthetic effect of these two networks, this hydrogel showed excellent mechanical properties, such as superior stretchability (1,375%) and high toughness (0.57 MJ/m(3)). At the same time, the abundant ionic groups of the polyzwitterion network endowed our hydrogel with excellent conductivity (0.25 S/m). Moreover, due to the dynamic property of these two networks, our hydrogel also performed good self-healing performance. Besides, our experimental results indicated that this hydrogel also had high optical transmittance (92.2%) and adhesive characteristics. Based on these outstanding properties, we further explored the utilization of this hydrogel as a flexible wearable strain sensor. The data strongly proved its enduring accuracy and sensitivity to detect human motions, including large joint flexion (such as finger, elbow, and knee), foot planter pressure measurement, and local muscle movement (such as eyebrow and mouth). Therefore, we believed that this hydrogel had great potential applications in wearable health monitoring, intelligent robot, human-machine interface, and other related fields. |
| 资助项目 | National Natural Science Foundation of China[31900963] ; Fundamental Research Funds for the Central Universities[2021CDJQY-017] ; Natural Science Foundation of Chongqing[cstc2021jcyj-cxttX0002] ; Fujian Provincial Health and Education Project for Tackling the Key Research[2019-WJ-22] ; Natural Science Foundation of Fujian Province[2020J02033] ; Fuzhou Science and Technology Project[2020-PT-138] |
| WOS研究方向 | Biotechnology & Applied Microbiology ; Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000760641700001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/15281]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Yu, Yongsheng; Xiao, Xiufeng; Feng, Qian |
| 作者单位 | 1.Mudanjiang Med Univ, Coll Life Sci, Dept Biomat, Mudanjiang, Peoples R China 2.Chongqing Univ, Minist Educ, Coll Bioengn, Key Lab Biorheol Sci & Technol, Chongqing, Peoples R China 3.Fujian Normal Univ, Coll Chem & Mat Sci, Fujian Prov Key Lab Adv Mat Oriented Chem Engn, Fuzhou, Peoples R China 4.Sanming Univ, Sch Resources & Chem Engn, Sanming, Peoples R China 5.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Kai,Liu, Mingxiang,Wang, Feng,et al. Highly Transparent, Self-Healing, and Self-Adhesive Double Network Hydrogel for Wearable Sensors[J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,2022,10:11. |
| APA | Chen, Kai.,Liu, Mingxiang.,Wang, Feng.,Hu, Yunping.,Liu, Pei.,...&Feng, Qian.(2022).Highly Transparent, Self-Healing, and Self-Adhesive Double Network Hydrogel for Wearable Sensors.FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,10,11. |
| MLA | Chen, Kai,et al."Highly Transparent, Self-Healing, and Self-Adhesive Double Network Hydrogel for Wearable Sensors".FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 10(2022):11. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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