SoltanRezaee, M and Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X, 2020. Simulation of an electrically actuated cantilever as a novel biosensor. Scientific Reports, 10: 3385. ISSN 2045-2322
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Abstract
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.
Item Type: | Journal article |
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Publication Title: | Scientific Reports |
Creators: | SoltanRezaee, M. and Bodaghi, M. |
Publisher: | Springer |
Date: | 25 February 2020 |
Volume: | 10 |
ISSN: | 2045-2322 |
Identifiers: | Number Type 10.1038/s41598-020-60296-9 DOI 1297750 Other |
Rights: | © the author(s) 2020. 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/. |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 26 Feb 2020 11:29 |
Last Modified: | 17 Mar 2020 14:44 |
URI: | https://irep.ntu.ac.uk/id/eprint/39293 |
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