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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Nature Portfolio
2019
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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) |
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Medicine R Science Q Masoud SoltanRezaee Mahdi Bodaghi Amin Farrokhabadi A thermosensitive electromechanical model for detecting biological particles |
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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 |
work_keys_str_mv |
AT masoudsoltanrezaee athermosensitiveelectromechanicalmodelfordetectingbiologicalparticles AT mahdibodaghi athermosensitiveelectromechanicalmodelfordetectingbiologicalparticles AT aminfarrokhabadi athermosensitiveelectromechanicalmodelfordetectingbiologicalparticles AT masoudsoltanrezaee thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles AT mahdibodaghi thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles AT aminfarrokhabadi thermosensitiveelectromechanicalmodelfordetectingbiologicalparticles |
_version_ |
1718384650471079936 |