Cargando…

Simulation of an electrically actuated cantilever as a novel biosensor

Recently, detecting biological particles by analyzing their mechanical properties has attracted increasing attention. To detect and identify different bioparticles and estimate their dimensions, a mechanical nanosensor is introduced in this paper. To attract particles, numerous parts of the substrat...

Descripción completa

Detalles Bibliográficos
Autores principales: SoltanRezaee, Masoud, Bodaghi, Mahdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042266/
https://www.ncbi.nlm.nih.gov/pubmed/32099010
http://dx.doi.org/10.1038/s41598-020-60296-9
_version_ 1783501275002830848
author SoltanRezaee, Masoud
Bodaghi, Mahdi
author_facet SoltanRezaee, Masoud
Bodaghi, Mahdi
author_sort SoltanRezaee, Masoud
collection PubMed
description Recently, detecting biological particles by analyzing their mechanical properties has attracted increasing attention. To detect and identify different bioparticles and estimate their dimensions, a mechanical nanosensor is introduced in this paper. To attract particles, numerous parts of the substrate are coated with different chemicals as probe detectors or receptors. The principal of cell recognition in this sensor is based on applying an electrical excitation and measuring the maximum deflection of the actuated cantilever electrode. Investigating the critical voltage that causes pull-in instability is also important in such highly-sensitive detectors. The governing equation of motion is derived from Hamilton’s principle. A Galerkin approximation is applied to discretize the nonlinear equation, which is solved numerically. Accuracy of the proposed model is validated by comparison studies with available experimental and theoretical data. The coupled effects of geometrical and mechanical properties are included in this model and studied in detail. Moreover, system identification is carried out to distinguish bioparticles by a stability analysis. Due to the absence of a similar concept and device, this research is expected to advance the state-of-the-art biosystems in identifying particles.
format Online
Article
Text
id pubmed-7042266
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70422662020-03-03 Simulation of an electrically actuated cantilever as a novel biosensor SoltanRezaee, Masoud Bodaghi, Mahdi Sci Rep Article Recently, detecting biological particles by analyzing their mechanical properties has attracted increasing attention. To detect and identify different bioparticles and estimate their dimensions, a mechanical nanosensor is introduced in this paper. To attract particles, numerous parts of the substrate are coated with different chemicals as probe detectors or receptors. The principal of cell recognition in this sensor is based on applying an electrical excitation and measuring the maximum deflection of the actuated cantilever electrode. Investigating the critical voltage that causes pull-in instability is also important in such highly-sensitive detectors. The governing equation of motion is derived from Hamilton’s principle. A Galerkin approximation is applied to discretize the nonlinear equation, which is solved numerically. Accuracy of the proposed model is validated by comparison studies with available experimental and theoretical data. The coupled effects of geometrical and mechanical properties are included in this model and studied in detail. Moreover, system identification is carried out to distinguish bioparticles by a stability analysis. Due to the absence of a similar concept and device, this research is expected to advance the state-of-the-art biosystems in identifying particles. Nature Publishing Group UK 2020-02-25 /pmc/articles/PMC7042266/ /pubmed/32099010 http://dx.doi.org/10.1038/s41598-020-60296-9 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
SoltanRezaee, Masoud
Bodaghi, Mahdi
Simulation of an electrically actuated cantilever as a novel biosensor
title Simulation of an electrically actuated cantilever as a novel biosensor
title_full Simulation of an electrically actuated cantilever as a novel biosensor
title_fullStr Simulation of an electrically actuated cantilever as a novel biosensor
title_full_unstemmed Simulation of an electrically actuated cantilever as a novel biosensor
title_short Simulation of an electrically actuated cantilever as a novel biosensor
title_sort simulation of an electrically actuated cantilever as a novel biosensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042266/
https://www.ncbi.nlm.nih.gov/pubmed/32099010
http://dx.doi.org/10.1038/s41598-020-60296-9
work_keys_str_mv AT soltanrezaeemasoud simulationofanelectricallyactuatedcantileverasanovelbiosensor
AT bodaghimahdi simulationofanelectricallyactuatedcantileverasanovelbiosensor