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Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection
Undoubtedly, the coronavirus disease 2019 (COVID-19) has received the greatest concern with a global impact, and this situation will continue for a long period of time. Looking back in history, airborne transimission diseases have caused huge casualties several times. COVID-19 as a typical airborne...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025628/ https://www.ncbi.nlm.nih.gov/pubmed/33840899 http://dx.doi.org/10.1016/j.sna.2021.112742 |
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author | Wang, Yinli Shi, Yu Narita, Fumio |
author_facet | Wang, Yinli Shi, Yu Narita, Fumio |
author_sort | Wang, Yinli |
collection | PubMed |
description | Undoubtedly, the coronavirus disease 2019 (COVID-19) has received the greatest concern with a global impact, and this situation will continue for a long period of time. Looking back in history, airborne transimission diseases have caused huge casualties several times. COVID-19 as a typical airborne disease caught our attention and reminded us of the importance of preventing such diseases. Therefore, this study focuses on finding a new way to guard against the spread of these diseases such as COVID-19. This paper studies the dynamic electromechanical response of metal-core piezoelectric fiber/epoxy matrix composites, designed as mass load sensors for virus detection, by numerical modelling. The dynamic electromechanical response is simulated by applying an alternating current (AC) electric field to make the composite vibrate. Furthermore, both concentrated and distributed loads are considered to assess the sensitivity of the biosensor during modelling of the combination of both biomarker and viruses. The design parameters of this sensor, such as the resonant frequency, the position and size of the biomarker, will be studied and optimized as the key values to determine the sensitivity of detection. The novelty of this work is to propose functional composites that can detect the viruses from changes of the output voltage instead of the resonant frequency change using piezoelectric sensor and piezoelectric actuator. The contribution of this detection method will significantly shorten the detection time as it avoids fast Fourier transform (FFT) or discrete Fourier transform (DFT). The outcome of this research offers a reliable numerical model to optimize the design of the proposed biosensor for virus detection, which will contribute to the production of high-performance piezoelectric biosensors in the future. |
format | Online Article Text |
id | pubmed-8025628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80256282021-04-07 Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection Wang, Yinli Shi, Yu Narita, Fumio Sens Actuators A Phys Article Undoubtedly, the coronavirus disease 2019 (COVID-19) has received the greatest concern with a global impact, and this situation will continue for a long period of time. Looking back in history, airborne transimission diseases have caused huge casualties several times. COVID-19 as a typical airborne disease caught our attention and reminded us of the importance of preventing such diseases. Therefore, this study focuses on finding a new way to guard against the spread of these diseases such as COVID-19. This paper studies the dynamic electromechanical response of metal-core piezoelectric fiber/epoxy matrix composites, designed as mass load sensors for virus detection, by numerical modelling. The dynamic electromechanical response is simulated by applying an alternating current (AC) electric field to make the composite vibrate. Furthermore, both concentrated and distributed loads are considered to assess the sensitivity of the biosensor during modelling of the combination of both biomarker and viruses. The design parameters of this sensor, such as the resonant frequency, the position and size of the biomarker, will be studied and optimized as the key values to determine the sensitivity of detection. The novelty of this work is to propose functional composites that can detect the viruses from changes of the output voltage instead of the resonant frequency change using piezoelectric sensor and piezoelectric actuator. The contribution of this detection method will significantly shorten the detection time as it avoids fast Fourier transform (FFT) or discrete Fourier transform (DFT). The outcome of this research offers a reliable numerical model to optimize the design of the proposed biosensor for virus detection, which will contribute to the production of high-performance piezoelectric biosensors in the future. Elsevier B.V. 2021-08-15 2021-04-07 /pmc/articles/PMC8025628/ /pubmed/33840899 http://dx.doi.org/10.1016/j.sna.2021.112742 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wang, Yinli Shi, Yu Narita, Fumio Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title | Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title_full | Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title_fullStr | Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title_full_unstemmed | Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title_short | Design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
title_sort | design and finite element simulation of metal-core piezoelectric fiber/epoxy matrix composites for virus detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025628/ https://www.ncbi.nlm.nih.gov/pubmed/33840899 http://dx.doi.org/10.1016/j.sna.2021.112742 |
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