UV-Protective, Self-Cleaning, and Antibacterial Nanofiber-Based Triboelectric Nanogenerators for Self-Powered Human Motion Monitoring-Reference-Cited by-同舟云学术

UV-Protective, Self-Cleaning, and Antibacterial Nanofiber-Based Triboelectric Nanogenerators for Self-Powered Human Motion Monitoring

Published:2021-02-27 Issue:9 Volume:13 Page:11205-11214
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Jiang Yang¹²,Dong Kai¹²,An Jie¹²,Liang Fei³,Yi Jia¹²,Peng Xiao¹²,Ning Chuan¹²,Ye Cuiying¹²,Wang Zhong Lin¹²⁴^ORCID

Affiliation:

1. CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China

2. School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China

3. Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong 999077, P. R. China

4. School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States

Funder

Ministry of Education of the People's Republic of China

Ministry of Science and Technology of the People's Republic of China

Beijing Municipal Science and Technology Commission

Science and Technology Commission of Shanghai Municipality

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.0c22670

Reference46 articles.

1. Transparent, stretchable and degradable protein electronic skin for biomechanical energy scavenging and wireless sensing

2. Shape adaptable and highly resilient 3D braided triboelectric nanogenerators as e-textiles for power and sensing

3. 3D Orthogonal Woven Triboelectric Nanogenerator for Effective Biomechanical Energy Harvesting and as Self-Powered Active Motion Sensors

4. A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

5. Quantifying and understanding the triboelectric series of inorganic non-metallic materials

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