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,...
Autores principales: | , , , , , , , , |
---|---|
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 |