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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202101262
|2 doi
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|a pubmed24n1481.xml
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|a (NLM)34240473
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Su, Yuanjie
|e verfasserin
|4 aut
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|a Self-Powered Respiration Monitoring Enabled By a Triboelectric Nanogenerator
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 24.07.2024
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|a Date Revised 24.07.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2021 Wiley-VCH GmbH.
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|a In mammals, physiological respiration involves respiratory cycles of inhaled and exhaled breaths, which has traditionally been an underutilized resource potentially encompassing a wealth of physiologically relevant information as well as clues to potential diseases. Recently, triboelectric nanogenerators (TENGs) have been widely adopted for self-powered respiration monitoring owing to their compelling features, such as decent biocompatibility, wearing comfort, low-cost, and high sensitivity to respiration activities in the aspect of low frequency and slight amplitude body motions. Physiological respiration behaviors and exhaled chemical regents can be precisely and continuously monitored by TENG-based respiration sensors for personalized health care. This article presents an overview of TENG enabled self-powered respiration monitoring, with a focus on the working principle, sensing materials, functional structures, and related applications in both physical respiration motion detection and chemical breath analysis. Concepts and approaches for acquisition of physical information associated with respiratory rate and depth are covered in the first part. Then the sensing mechanism, theoretical modeling, and applications related to detection of chemicals released from breathing gases are systemically summarized. Finally, the opportunities and challenges of triboelectric effect enabled self-powered respiration monitoring are comprehensively discussed and criticized
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|a Journal Article
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|a Review
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|a breath analysis
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|a personalized healthcare
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|a respiration monitoring
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|a self-powered sensors
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|a triboelectric nanogenerator
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| 700 |
1 |
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|a Chen, Guorui
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chen, Chunxu
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Gong, Qichen
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xie, Guangzhong
|e verfasserin
|4 aut
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1 |
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|a Yao, Mingliang
|e verfasserin
|4 aut
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| 700 |
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|a Tai, Huiling
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jiang, Yadong
|e verfasserin
|4 aut
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| 700 |
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|a Chen, Jun
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 33(2021), 35 vom: 01. Sept., Seite e2101262
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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| 773 |
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|g volume:33
|g year:2021
|g number:35
|g day:01
|g month:09
|g pages:e2101262
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|u http://dx.doi.org/10.1002/adma.202101262
|3 Volltext
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