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Selective multiple analyte detection using multi-mode excitation of a MEMS resonator
This work reports highly selective multiple analyte detection by exploiting two different mechanisms; absorption and thermal conductivity using a single MEMS device. To illustrate the concept, we utilize a resonator composed of a clamped-guided arch beam connected to a flexural beam and a T-shaped m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964735/ https://www.ncbi.nlm.nih.gov/pubmed/35351950 http://dx.doi.org/10.1038/s41598-022-09365-9 |
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author | Yaqoob, Usman Jaber, Nizar Alcheikh, Nouha Younis, Mohammad I. |
author_facet | Yaqoob, Usman Jaber, Nizar Alcheikh, Nouha Younis, Mohammad I. |
author_sort | Yaqoob, Usman |
collection | PubMed |
description | This work reports highly selective multiple analyte detection by exploiting two different mechanisms; absorption and thermal conductivity using a single MEMS device. To illustrate the concept, we utilize a resonator composed of a clamped-guided arch beam connected to a flexural beam and a T-shaped moveable mass. A finite element model is used to study the mode shapes and mechanical behavior of the device with good agreement reported with the experimental data. The resonator displays two distinct out-of-plane modes of vibration. For humidity detection, we utilize physisorption by functionalizing the surface with graphene oxide (GO), which has strong affinity toward water vapors. The GO solution is prepared and drop-casted over the mass surface using an inkjet printer. On the other hand, cooling the heated flexural beams is used for helium (He) detection (thermal-conductivity-based sensor). The sensor characteristics are extensively studied when the modes are individually and simultaneously actuated. Results affirm the successful utilization of each mode for selective detection of relative humidity and He. This novel mode-dependent selective detection of multiple analytes can be a promising building block for the development of miniature, low-powered, and selective smart sensors for modern portable electronic devices. |
format | Online Article Text |
id | pubmed-8964735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89647352022-03-30 Selective multiple analyte detection using multi-mode excitation of a MEMS resonator Yaqoob, Usman Jaber, Nizar Alcheikh, Nouha Younis, Mohammad I. Sci Rep Article This work reports highly selective multiple analyte detection by exploiting two different mechanisms; absorption and thermal conductivity using a single MEMS device. To illustrate the concept, we utilize a resonator composed of a clamped-guided arch beam connected to a flexural beam and a T-shaped moveable mass. A finite element model is used to study the mode shapes and mechanical behavior of the device with good agreement reported with the experimental data. The resonator displays two distinct out-of-plane modes of vibration. For humidity detection, we utilize physisorption by functionalizing the surface with graphene oxide (GO), which has strong affinity toward water vapors. The GO solution is prepared and drop-casted over the mass surface using an inkjet printer. On the other hand, cooling the heated flexural beams is used for helium (He) detection (thermal-conductivity-based sensor). The sensor characteristics are extensively studied when the modes are individually and simultaneously actuated. Results affirm the successful utilization of each mode for selective detection of relative humidity and He. This novel mode-dependent selective detection of multiple analytes can be a promising building block for the development of miniature, low-powered, and selective smart sensors for modern portable electronic devices. Nature Publishing Group UK 2022-03-28 /pmc/articles/PMC8964735/ /pubmed/35351950 http://dx.doi.org/10.1038/s41598-022-09365-9 Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yaqoob, Usman Jaber, Nizar Alcheikh, Nouha Younis, Mohammad I. Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title | Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title_full | Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title_fullStr | Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title_full_unstemmed | Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title_short | Selective multiple analyte detection using multi-mode excitation of a MEMS resonator |
title_sort | selective multiple analyte detection using multi-mode excitation of a mems resonator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964735/ https://www.ncbi.nlm.nih.gov/pubmed/35351950 http://dx.doi.org/10.1038/s41598-022-09365-9 |
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