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Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control
Self-powered flexible devices with skin-like multiple sensing ability have attracted great attentions due to their broad applications in the Internet of Things (IoT). Various methods have been proposed to enhance mechano-optic or electric performance of the flexible devices; however, it remains chal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039194/ https://www.ncbi.nlm.nih.gov/pubmed/36964430 http://dx.doi.org/10.1007/s40820-023-01054-0 |
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author | Zhou, Bo Liu, Jize Huang, Xin Qiu, Xiaoyan Yang, Xin Shao, Hong Tang, Changyu Zhang, Xinxing |
author_facet | Zhou, Bo Liu, Jize Huang, Xin Qiu, Xiaoyan Yang, Xin Shao, Hong Tang, Changyu Zhang, Xinxing |
author_sort | Zhou, Bo |
collection | PubMed |
description | Self-powered flexible devices with skin-like multiple sensing ability have attracted great attentions due to their broad applications in the Internet of Things (IoT). Various methods have been proposed to enhance mechano-optic or electric performance of the flexible devices; however, it remains challenging to realize the display and accurate recognition of motion trajectories for intelligent control. Here, we present a fully self-powered mechanoluminescent-triboelectric bimodal sensor based on micro-nanostructured mechanoluminescent elastomer, which can patterned-display the force trajectories. The deformable liquid metals used as stretchable electrode make the stress transfer stable through overall device to achieve outstanding mechanoluminescence (with a gray value of 107 under a stimulus force as low as 0.3 N and more than 2000 cycles reproducibility). Moreover, a microstructured surface is constructed which endows the resulted composite with significantly improved triboelectric performances (voltage increases from 8 to 24 V). Based on the excellent bimodal sensing performances and durability of the obtained composite, a highly reliable intelligent control system by machine learning has been developed for controlling trolley, providing an approach for advanced visual interaction devices and smart wearable electronics in the future IoT era. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40820-023-01054-0. |
format | Online Article Text |
id | pubmed-10039194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-100391942023-03-26 Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control Zhou, Bo Liu, Jize Huang, Xin Qiu, Xiaoyan Yang, Xin Shao, Hong Tang, Changyu Zhang, Xinxing Nanomicro Lett Article Self-powered flexible devices with skin-like multiple sensing ability have attracted great attentions due to their broad applications in the Internet of Things (IoT). Various methods have been proposed to enhance mechano-optic or electric performance of the flexible devices; however, it remains challenging to realize the display and accurate recognition of motion trajectories for intelligent control. Here, we present a fully self-powered mechanoluminescent-triboelectric bimodal sensor based on micro-nanostructured mechanoluminescent elastomer, which can patterned-display the force trajectories. The deformable liquid metals used as stretchable electrode make the stress transfer stable through overall device to achieve outstanding mechanoluminescence (with a gray value of 107 under a stimulus force as low as 0.3 N and more than 2000 cycles reproducibility). Moreover, a microstructured surface is constructed which endows the resulted composite with significantly improved triboelectric performances (voltage increases from 8 to 24 V). Based on the excellent bimodal sensing performances and durability of the obtained composite, a highly reliable intelligent control system by machine learning has been developed for controlling trolley, providing an approach for advanced visual interaction devices and smart wearable electronics in the future IoT era. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40820-023-01054-0. Springer Nature Singapore 2023-03-24 /pmc/articles/PMC10039194/ /pubmed/36964430 http://dx.doi.org/10.1007/s40820-023-01054-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhou, Bo Liu, Jize Huang, Xin Qiu, Xiaoyan Yang, Xin Shao, Hong Tang, Changyu Zhang, Xinxing Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title | Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title_full | Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title_fullStr | Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title_full_unstemmed | Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title_short | Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control |
title_sort | mechanoluminescent-triboelectric bimodal sensors for self-powered sensing and intelligent control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039194/ https://www.ncbi.nlm.nih.gov/pubmed/36964430 http://dx.doi.org/10.1007/s40820-023-01054-0 |
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