High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture
Summary: It is still a great challenge for the flexible piezoresistive pressure sensors to simultaneously achieve wide linearity and high sensitivity. Herein, we propose a high-performance textile pressure sensor based on chitosan (CTS)/MXene fiber. The hierarchical “point to line” architecture enab...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2024-04-01
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Series: | iScience |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224007028 |
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author | Mengxi Gu Xuan Zhou Jienan Shen Ruibin Xie Yuhan Su Junxue Gao Binzhe Zhao Jie Li Yingjie Duan Zhixun Wang Yougen Hu Guoqiang Gu Lei Wang Lei Wei Chunlei Yang Ming Chen |
author_facet | Mengxi Gu Xuan Zhou Jienan Shen Ruibin Xie Yuhan Su Junxue Gao Binzhe Zhao Jie Li Yingjie Duan Zhixun Wang Yougen Hu Guoqiang Gu Lei Wang Lei Wei Chunlei Yang Ming Chen |
author_sort | Mengxi Gu |
collection | DOAJ |
description | Summary: It is still a great challenge for the flexible piezoresistive pressure sensors to simultaneously achieve wide linearity and high sensitivity. Herein, we propose a high-performance textile pressure sensor based on chitosan (CTS)/MXene fiber. The hierarchical “point to line” architecture enables the pressure sensor with high sensitivity of 1.16 kPa−1 over an ultrawide linear range of 1.5 MPa. Furthermore, the CTS/MXene pressure sensor possesses a low fatigue over 1000 loading/unloading cycles under 1.5 MPa pressure load, attributed to the strong chemical bonding between CTS fiber and MXene and excellent mechanical stability. Besides, the proposed sensor shows good antibacterial effect benefiting from the strong interaction between polycationic structure of CTS/MXene and the predominantly anionic components of bacteria surface. The sensor is also applied to detect real-time human action, an overall classification accuracy of 98.61% based on deep neural network-convolutional neural network (CNN) for six human actions is realized. |
first_indexed | 2024-04-24T19:48:54Z |
format | Article |
id | doaj.art-d54cb980c790491bb7e74a7c6be2b17d |
institution | Directory Open Access Journal |
issn | 2589-0042 |
language | English |
last_indexed | 2024-04-24T19:48:54Z |
publishDate | 2024-04-01 |
publisher | Elsevier |
record_format | Article |
series | iScience |
spelling | doaj.art-d54cb980c790491bb7e74a7c6be2b17d2024-03-25T04:18:01ZengElsevieriScience2589-00422024-04-01274109481High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architectureMengxi Gu0Xuan Zhou1Jienan Shen2Ruibin Xie3Yuhan Su4Junxue Gao5Binzhe Zhao6Jie Li7Yingjie Duan8Zhixun Wang9Yougen Hu10Guoqiang Gu11Lei Wang12Lei Wei13Chunlei Yang14Ming Chen15Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; Department of Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; Department of Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; Department of Nano Science and Technology Institute, University of Science and Technology of China, Suzhou 215123, People’s Republic of ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, SingaporeShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; Corresponding authorShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; Corresponding authorSchool of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore; Corresponding authorShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China; Corresponding authorShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People’s Republic of China; University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China; Corresponding authorSummary: It is still a great challenge for the flexible piezoresistive pressure sensors to simultaneously achieve wide linearity and high sensitivity. Herein, we propose a high-performance textile pressure sensor based on chitosan (CTS)/MXene fiber. The hierarchical “point to line” architecture enables the pressure sensor with high sensitivity of 1.16 kPa−1 over an ultrawide linear range of 1.5 MPa. Furthermore, the CTS/MXene pressure sensor possesses a low fatigue over 1000 loading/unloading cycles under 1.5 MPa pressure load, attributed to the strong chemical bonding between CTS fiber and MXene and excellent mechanical stability. Besides, the proposed sensor shows good antibacterial effect benefiting from the strong interaction between polycationic structure of CTS/MXene and the predominantly anionic components of bacteria surface. The sensor is also applied to detect real-time human action, an overall classification accuracy of 98.61% based on deep neural network-convolutional neural network (CNN) for six human actions is realized.http://www.sciencedirect.com/science/article/pii/S2589004224007028Artificial intelligenceHealth technologyMaterials science |
spellingShingle | Mengxi Gu Xuan Zhou Jienan Shen Ruibin Xie Yuhan Su Junxue Gao Binzhe Zhao Jie Li Yingjie Duan Zhixun Wang Yougen Hu Guoqiang Gu Lei Wang Lei Wei Chunlei Yang Ming Chen High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture iScience Artificial intelligence Health technology Materials science |
title | High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture |
title_full | High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture |
title_fullStr | High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture |
title_full_unstemmed | High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture |
title_short | High-sensitivity, ultrawide linear range, antibacterial textile pressure sensor based on chitosan/MXene hierarchical architecture |
title_sort | high sensitivity ultrawide linear range antibacterial textile pressure sensor based on chitosan mxene hierarchical architecture |
topic | Artificial intelligence Health technology Materials science |
url | http://www.sciencedirect.com/science/article/pii/S2589004224007028 |
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