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  5. A breathable, biodegradable, antibacterial, and self-powered electronic skin based on all-nanofiber triboelectric nanogenerators

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Article
English
2020

A breathable, biodegradable, antibacterial, and self-powered electronic skin based on all-nanofiber triboelectric nanogenerators

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English
2020
Science Advances
Vol 6 (26)
DOI: 10.1126/sciadv.aba9624

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Yapeng Shi
Kai Dong
Cuiying Ye
+7 more

Abstract

Mimicking the comprehensive functions of human sensing via electronic skins (e-skins) is highly interesting for the development of human-machine interactions and artificial intelligences. Some e-skins with high sensitivity and stability were developed; however, little attention is paid to their comfortability, environmental friendliness, and antibacterial activity. Here, we report a breathable, biodegradable, and antibacterial e-skin based on all-nanofiber triboelectric nanogenerators, which is fabricated by sandwiching silver nanowire (Ag NW) between polylactic-co-glycolic acid (PLGA) and polyvinyl alcohol (PVA). With micro-to-nano hierarchical porous structure, the e-skin has high specific surface area for contact electrification and numerous capillary channels for thermal-moisture transfer. Through adjusting the concentration of Ag NW and the selection of PVA and PLGA, the antibacterial and biodegradable capability of e-skins can be tuned, respectively. Our e-skin can achieve real-time and self-powered monitoring of whole-body physiological signal and joint movement. This work provides a previously unexplored strategy for multifunctional e-skins with excellent practicability.

How to cite this publication

Yapeng Shi, Kai Dong, Cuiying Ye, Yang Jiang, Siyuan Zhai, Renwei Cheng, Di Liu, Xiaoping Gao, Jie Wang, Zhong Lin Wang (2020). A breathable, biodegradable, antibacterial, and self-powered electronic skin based on all-nanofiber triboelectric nanogenerators. Science Advances, 6(26), pp. 1-10, DOI: 10.1126/sciadv.aba9624.

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Publication Details

Type

Article

Year

2020

Authors

10

Datasets

0

Total Files

0

Language

English

Journal

Science Advances

DOI

10.1126/sciadv.aba9624

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