Cargando…

Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems

Smart responsive materials can react to external stimuli via a reversible mechanism and can be directly combined with a triboelectric nanogenerator (TENG) to deliver various intelligent applications, such as sensors, actuators, robots, artificial muscles, and controlled drug delivery. Not only that,...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xueqing, Qin, Qinghao, Lu, Yin, Mi, Yajun, Meng, Jiajing, Zhao, Zequan, Wu, Han, Cao, Xia, Wang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141953/
https://www.ncbi.nlm.nih.gov/pubmed/37110900
http://dx.doi.org/10.3390/nano13081316
_version_ 1785033495991549952
author Wang, Xueqing
Qin, Qinghao
Lu, Yin
Mi, Yajun
Meng, Jiajing
Zhao, Zequan
Wu, Han
Cao, Xia
Wang, Ning
author_facet Wang, Xueqing
Qin, Qinghao
Lu, Yin
Mi, Yajun
Meng, Jiajing
Zhao, Zequan
Wu, Han
Cao, Xia
Wang, Ning
author_sort Wang, Xueqing
collection PubMed
description Smart responsive materials can react to external stimuli via a reversible mechanism and can be directly combined with a triboelectric nanogenerator (TENG) to deliver various intelligent applications, such as sensors, actuators, robots, artificial muscles, and controlled drug delivery. Not only that, mechanical energy in the reversible response of innovative materials can be scavenged and transformed into decipherable electrical signals. Because of the high dependence of amplitude and frequency on environmental stimuli, self-powered intelligent systems may be thus built and present an immediate response to stress, electrical current, temperature, magnetic field, or even chemical compounds. This review summarizes the recent research progress of smart TENGs based on stimulus-response materials. After briefly introducing the working principle of TENG, we discuss the implementation of smart materials in TENGs with a classification of several sub-groups: shape-memory alloy, piezoelectric materials, magneto-rheological, and electro-rheological materials. While we focus on their design strategy and function collaboration, applications in robots, clinical treatment, and sensors are described in detail to show the versatility and promising future of smart TNEGs. In the end, challenges and outlooks in this field are highlighted, with an aim to promote the integration of varied advanced intelligent technologies into compact, diverse functional packages in a self-powered mode.
format Online
Article
Text
id pubmed-10141953
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101419532023-04-29 Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems Wang, Xueqing Qin, Qinghao Lu, Yin Mi, Yajun Meng, Jiajing Zhao, Zequan Wu, Han Cao, Xia Wang, Ning Nanomaterials (Basel) Review Smart responsive materials can react to external stimuli via a reversible mechanism and can be directly combined with a triboelectric nanogenerator (TENG) to deliver various intelligent applications, such as sensors, actuators, robots, artificial muscles, and controlled drug delivery. Not only that, mechanical energy in the reversible response of innovative materials can be scavenged and transformed into decipherable electrical signals. Because of the high dependence of amplitude and frequency on environmental stimuli, self-powered intelligent systems may be thus built and present an immediate response to stress, electrical current, temperature, magnetic field, or even chemical compounds. This review summarizes the recent research progress of smart TENGs based on stimulus-response materials. After briefly introducing the working principle of TENG, we discuss the implementation of smart materials in TENGs with a classification of several sub-groups: shape-memory alloy, piezoelectric materials, magneto-rheological, and electro-rheological materials. While we focus on their design strategy and function collaboration, applications in robots, clinical treatment, and sensors are described in detail to show the versatility and promising future of smart TNEGs. In the end, challenges and outlooks in this field are highlighted, with an aim to promote the integration of varied advanced intelligent technologies into compact, diverse functional packages in a self-powered mode. MDPI 2023-04-08 /pmc/articles/PMC10141953/ /pubmed/37110900 http://dx.doi.org/10.3390/nano13081316 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wang, Xueqing
Qin, Qinghao
Lu, Yin
Mi, Yajun
Meng, Jiajing
Zhao, Zequan
Wu, Han
Cao, Xia
Wang, Ning
Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title_full Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title_fullStr Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title_full_unstemmed Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title_short Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems
title_sort smart triboelectric nanogenerators based on stimulus-response materials: from intelligent applications to self-powered systems
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141953/
https://www.ncbi.nlm.nih.gov/pubmed/37110900
http://dx.doi.org/10.3390/nano13081316
work_keys_str_mv AT wangxueqing smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT qinqinghao smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT luyin smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT miyajun smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT mengjiajing smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT zhaozequan smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT wuhan smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT caoxia smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems
AT wangning smarttriboelectricnanogeneratorsbasedonstimulusresponsematerialsfromintelligentapplicationstoselfpoweredsystems