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Frequency unlocking-based MEMS bifurcation sensors
MEMS resonators exhibit rich dynamic behaviors under the internal resonance regime. In this work, we present a novel MEMS bifurcation sensor that exploits frequency unlocking due to a 1:3 internal resonance between two electrostatically coupled micro-resonators. The proposed detection mechanism allo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185684/ https://www.ncbi.nlm.nih.gov/pubmed/37201104 http://dx.doi.org/10.1038/s41378-023-00522-2 |
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author | Qiao, Yan Shi, Zhan Xu, Yutao Wei, Xueyong Elhady, Alaaeldin Abdel-Rahman, Eihab Huan, Ronghua Zhang, Wenming |
author_facet | Qiao, Yan Shi, Zhan Xu, Yutao Wei, Xueyong Elhady, Alaaeldin Abdel-Rahman, Eihab Huan, Ronghua Zhang, Wenming |
author_sort | Qiao, Yan |
collection | PubMed |
description | MEMS resonators exhibit rich dynamic behaviors under the internal resonance regime. In this work, we present a novel MEMS bifurcation sensor that exploits frequency unlocking due to a 1:3 internal resonance between two electrostatically coupled micro-resonators. The proposed detection mechanism allows the sensor to operate in binary (digital) and analog modes, depending on whether the sensor merely detects a significant jump event in the peak frequency upon unlocking or measures the shift in the peak frequency after unlocking and uses it in conjunction with a calibration curve to estimate the corresponding change in stimulus. We validate the success of this sensor paradigm by experimentally demonstrating charge detection. High charge resolutions are achieved in binary mode, up to 0.137 fC, and in analog mode, up to 0.01 fC. The proposed binary sensor enables extraordinarily high detection resolutions due to the excellent frequency stability under internal resonance and the high signal-to-noise ratio of the shift in peak frequency. Our findings offer new opportunities for high-performance ultrasensitive sensors. |
format | Online Article Text |
id | pubmed-10185684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101856842023-05-17 Frequency unlocking-based MEMS bifurcation sensors Qiao, Yan Shi, Zhan Xu, Yutao Wei, Xueyong Elhady, Alaaeldin Abdel-Rahman, Eihab Huan, Ronghua Zhang, Wenming Microsyst Nanoeng Article MEMS resonators exhibit rich dynamic behaviors under the internal resonance regime. In this work, we present a novel MEMS bifurcation sensor that exploits frequency unlocking due to a 1:3 internal resonance between two electrostatically coupled micro-resonators. The proposed detection mechanism allows the sensor to operate in binary (digital) and analog modes, depending on whether the sensor merely detects a significant jump event in the peak frequency upon unlocking or measures the shift in the peak frequency after unlocking and uses it in conjunction with a calibration curve to estimate the corresponding change in stimulus. We validate the success of this sensor paradigm by experimentally demonstrating charge detection. High charge resolutions are achieved in binary mode, up to 0.137 fC, and in analog mode, up to 0.01 fC. The proposed binary sensor enables extraordinarily high detection resolutions due to the excellent frequency stability under internal resonance and the high signal-to-noise ratio of the shift in peak frequency. Our findings offer new opportunities for high-performance ultrasensitive sensors. Nature Publishing Group UK 2023-05-16 /pmc/articles/PMC10185684/ /pubmed/37201104 http://dx.doi.org/10.1038/s41378-023-00522-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Qiao, Yan Shi, Zhan Xu, Yutao Wei, Xueyong Elhady, Alaaeldin Abdel-Rahman, Eihab Huan, Ronghua Zhang, Wenming Frequency unlocking-based MEMS bifurcation sensors |
title | Frequency unlocking-based MEMS bifurcation sensors |
title_full | Frequency unlocking-based MEMS bifurcation sensors |
title_fullStr | Frequency unlocking-based MEMS bifurcation sensors |
title_full_unstemmed | Frequency unlocking-based MEMS bifurcation sensors |
title_short | Frequency unlocking-based MEMS bifurcation sensors |
title_sort | frequency unlocking-based mems bifurcation sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185684/ https://www.ncbi.nlm.nih.gov/pubmed/37201104 http://dx.doi.org/10.1038/s41378-023-00522-2 |
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