A thermosensitive electromechanical model for detecting biological particles

Abstract Miniature electromechanical systems form a class of bioMEMS that can provide appropriate sensitivity. In this research, a thermo-electro-mechanical model is presented to detect biological particles in the microscale. Identification in the model is based on analyzing pull-in instability para...

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Autores principales: Masoud SoltanRezaee, Mahdi Bodaghi, Amin Farrokhabadi
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Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/407ce5a23c8448e9942b6ed80bbe1de0
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spelling oai:doaj.org-article:407ce5a23c8448e9942b6ed80bbe1de02021-12-02T16:07:53ZA thermosensitive electromechanical model for detecting biological particles10.1038/s41598-019-48177-22045-2322https://doaj.org/article/407ce5a23c8448e9942b6ed80bbe1de02019-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-48177-2https://doaj.org/toc/2045-2322Abstract Miniature electromechanical systems form a class of bioMEMS that can provide appropriate sensitivity. In this research, a thermo-electro-mechanical model is presented to detect biological particles in the microscale. Identification in the model is based on analyzing pull-in instability parameters and frequency shifts. Here, governing equations are derived via the extended Hamilton’s principle. The coupled effects of system parameters such as surface layer energy, electric field correction, and material properties are incorporated in this thermosensitive model. Afterward, the accuracy of the present model and obtained results are validated with experimental, analytical, and numerical data for several cases. Performing a parametric study reveals that mechanical properties of biosensors can significantly affect the detection sensitivity of actuated ultra-small detectors and should be taken into account. Furthermore, it is shown that the number or dimension of deposited particles on the sensing zone can be estimated by investigating the changes in the threshold voltage, electrode deflection, and frequency shifts. The present analysis is likely to provide pertinent guidelines to design thermal switches and miniature detectors with the desired performance. The developed biosensor is more appropriate to detect and characterize viruses in samples with different temperatures.Masoud SoltanRezaeeMahdi BodaghiAmin FarrokhabadiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Masoud SoltanRezaee
Mahdi Bodaghi
Amin Farrokhabadi
A thermosensitive electromechanical model for detecting biological particles
description Abstract Miniature electromechanical systems form a class of bioMEMS that can provide appropriate sensitivity. In this research, a thermo-electro-mechanical model is presented to detect biological particles in the microscale. Identification in the model is based on analyzing pull-in instability parameters and frequency shifts. Here, governing equations are derived via the extended Hamilton’s principle. The coupled effects of system parameters such as surface layer energy, electric field correction, and material properties are incorporated in this thermosensitive model. Afterward, the accuracy of the present model and obtained results are validated with experimental, analytical, and numerical data for several cases. Performing a parametric study reveals that mechanical properties of biosensors can significantly affect the detection sensitivity of actuated ultra-small detectors and should be taken into account. Furthermore, it is shown that the number or dimension of deposited particles on the sensing zone can be estimated by investigating the changes in the threshold voltage, electrode deflection, and frequency shifts. The present analysis is likely to provide pertinent guidelines to design thermal switches and miniature detectors with the desired performance. The developed biosensor is more appropriate to detect and characterize viruses in samples with different temperatures.
format article
author Masoud SoltanRezaee
Mahdi Bodaghi
Amin Farrokhabadi
author_facet Masoud SoltanRezaee
Mahdi Bodaghi
Amin Farrokhabadi
author_sort Masoud SoltanRezaee
title A thermosensitive electromechanical model for detecting biological particles
title_short A thermosensitive electromechanical model for detecting biological particles
title_full A thermosensitive electromechanical model for detecting biological particles
title_fullStr A thermosensitive electromechanical model for detecting biological particles
title_full_unstemmed A thermosensitive electromechanical model for detecting biological particles
title_sort thermosensitive electromechanical model for detecting biological particles
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/407ce5a23c8448e9942b6ed80bbe1de0
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AT masoudsoltanrezaee thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles
AT mahdibodaghi thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles
AT aminfarrokhabadi thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles
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