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Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring

Flexible strain sensors with significant extensibility, stability, and durability are essential for public healthcare due to their ability to monitor vital health signals noninvasively. However, thus far, the conductive networks have been plagued by the inconsistent interface states of the conductiv...

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Detalles Bibliográficos
Autores principales: Zhang, Yang, Zhao, Danjiao, Cao, Lei, Fan, Lanlan, Lin, Aiping, Wang, Shufen, Gu, Feng, Yu, Aibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824308/
https://www.ncbi.nlm.nih.gov/pubmed/36616092
http://dx.doi.org/10.3390/nano13010181
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author Zhang, Yang
Zhao, Danjiao
Cao, Lei
Fan, Lanlan
Lin, Aiping
Wang, Shufen
Gu, Feng
Yu, Aibing
author_facet Zhang, Yang
Zhao, Danjiao
Cao, Lei
Fan, Lanlan
Lin, Aiping
Wang, Shufen
Gu, Feng
Yu, Aibing
author_sort Zhang, Yang
collection PubMed
description Flexible strain sensors with significant extensibility, stability, and durability are essential for public healthcare due to their ability to monitor vital health signals noninvasively. However, thus far, the conductive networks have been plagued by the inconsistent interface states of the conductive components, which hampered the ultimate sensitivity performance. Here, we demonstrate structurally integrated 3D conductive networks-based flexible strain sensors of hybrid Ag nanorods/nanoparticles(AgNRs/NPs) by combining a droplet-based aerosol jet printing(AJP) process and a feasible transfer process. Structurally integrated 3D conductive networks have been intentionally developed by tweaking droplets deposition behaviors at multi-scale for efficient hybridization and ordered assembly of AgNRs/NPs. The hybrid AgNRs/NPs enhance interfacial conduction and mechanical properties during stretching. In a strain range of 25%, the developed sensor demonstrates an ideal gauge factor of 23.18. When real-time monitoring of finger bending, arm bending, squatting, and vocalization, the fabricated sensors revealed effective responses to human movements. Our findings demonstrate the efficient droplet-based AJP process is particularly capable of developing advanced flexible devices for optoelectronics and wearable electronics applications.
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spelling pubmed-98243082023-01-08 Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring Zhang, Yang Zhao, Danjiao Cao, Lei Fan, Lanlan Lin, Aiping Wang, Shufen Gu, Feng Yu, Aibing Nanomaterials (Basel) Article Flexible strain sensors with significant extensibility, stability, and durability are essential for public healthcare due to their ability to monitor vital health signals noninvasively. However, thus far, the conductive networks have been plagued by the inconsistent interface states of the conductive components, which hampered the ultimate sensitivity performance. Here, we demonstrate structurally integrated 3D conductive networks-based flexible strain sensors of hybrid Ag nanorods/nanoparticles(AgNRs/NPs) by combining a droplet-based aerosol jet printing(AJP) process and a feasible transfer process. Structurally integrated 3D conductive networks have been intentionally developed by tweaking droplets deposition behaviors at multi-scale for efficient hybridization and ordered assembly of AgNRs/NPs. The hybrid AgNRs/NPs enhance interfacial conduction and mechanical properties during stretching. In a strain range of 25%, the developed sensor demonstrates an ideal gauge factor of 23.18. When real-time monitoring of finger bending, arm bending, squatting, and vocalization, the fabricated sensors revealed effective responses to human movements. Our findings demonstrate the efficient droplet-based AJP process is particularly capable of developing advanced flexible devices for optoelectronics and wearable electronics applications. MDPI 2022-12-30 /pmc/articles/PMC9824308/ /pubmed/36616092 http://dx.doi.org/10.3390/nano13010181 Text en © 2022 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 Article
Zhang, Yang
Zhao, Danjiao
Cao, Lei
Fan, Lanlan
Lin, Aiping
Wang, Shufen
Gu, Feng
Yu, Aibing
Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title_full Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title_fullStr Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title_full_unstemmed Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title_short Droplets Patterning of Structurally Integrated 3D Conductive Networks-Based Flexible Strain Sensors for Healthcare Monitoring
title_sort droplets patterning of structurally integrated 3d conductive networks-based flexible strain sensors for healthcare monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824308/
https://www.ncbi.nlm.nih.gov/pubmed/36616092
http://dx.doi.org/10.3390/nano13010181
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