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Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19
BACKGROUND: To avoid the risk of increase in the rate of human infection is a big challenge for healthcare staffs during the treatment of patients affected from corona virus disease-2019 (COVID-19). This work is intended to save COVID-19-infected patients from conveyed hazardous volatile gases (VOCs...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585997/ http://dx.doi.org/10.1007/s42417-020-00257-8 |
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author | Kumar, Mukesh Bhadu, Deepak |
author_facet | Kumar, Mukesh Bhadu, Deepak |
author_sort | Kumar, Mukesh |
collection | PubMed |
description | BACKGROUND: To avoid the risk of increase in the rate of human infection is a big challenge for healthcare staffs during the treatment of patients affected from corona virus disease-2019 (COVID-19). This work is intended to save COVID-19-infected patients from conveyed hazardous volatile gases (VOCs) by the gas stream. The VOCs are generally generated from the pathways of medical respiratory devices. METHOD: Here, we present a surface acoustic wave-based sensor device for sensing dichloromethane (DCM) gas that can be connected with a gas pathway system used in medical devices. Dichloromethane is a volatile organic compound. Single- (polyisobutylene, PIB) and multi- (polyisobutylene/silicon nitride, PIB/Si(3)N(4)) surface acoustic wave-based sensors are designed on LiNbO(3) piezoelectric substrate. The designed models patterned with interdigitated transducer (IDT) aluminum (Al) electrodes are used to analyze gas sensing behavior for dichloromethane (CH(2)Cl(2), DCM) gas. RESULTS: The studies for DCM gas sensing are carried out for single- and multi-layer models using COMSOL Multi-physics software. The resonant frequency and displacement are also observed for 100 ppm gas concentration of DCM at room temperature. It has been found that multi-layer designed model shows higher sensitivity as compared to single layer (PIB/LiNbO(3)) model on exposing DCM gas. CONCLUSION: The estimation of various parameters observed by the proposed module is also explained. It is observed that the sensitivity of sensor for detection of VOCs (generated in gas pathways in medical devices) is best suited in the present crisis of COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-7585997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-75859972020-10-26 Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 Kumar, Mukesh Bhadu, Deepak J. Vib. Eng. Technol. Original Paper BACKGROUND: To avoid the risk of increase in the rate of human infection is a big challenge for healthcare staffs during the treatment of patients affected from corona virus disease-2019 (COVID-19). This work is intended to save COVID-19-infected patients from conveyed hazardous volatile gases (VOCs) by the gas stream. The VOCs are generally generated from the pathways of medical respiratory devices. METHOD: Here, we present a surface acoustic wave-based sensor device for sensing dichloromethane (DCM) gas that can be connected with a gas pathway system used in medical devices. Dichloromethane is a volatile organic compound. Single- (polyisobutylene, PIB) and multi- (polyisobutylene/silicon nitride, PIB/Si(3)N(4)) surface acoustic wave-based sensors are designed on LiNbO(3) piezoelectric substrate. The designed models patterned with interdigitated transducer (IDT) aluminum (Al) electrodes are used to analyze gas sensing behavior for dichloromethane (CH(2)Cl(2), DCM) gas. RESULTS: The studies for DCM gas sensing are carried out for single- and multi-layer models using COMSOL Multi-physics software. The resonant frequency and displacement are also observed for 100 ppm gas concentration of DCM at room temperature. It has been found that multi-layer designed model shows higher sensitivity as compared to single layer (PIB/LiNbO(3)) model on exposing DCM gas. CONCLUSION: The estimation of various parameters observed by the proposed module is also explained. It is observed that the sensitivity of sensor for detection of VOCs (generated in gas pathways in medical devices) is best suited in the present crisis of COVID-19 pandemic. Springer Singapore 2020-10-26 2021 /pmc/articles/PMC7585997/ http://dx.doi.org/10.1007/s42417-020-00257-8 Text en © Krishtel eMaging Solutions Private Limited 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Kumar, Mukesh Bhadu, Deepak Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title | Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title_full | Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title_fullStr | Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title_full_unstemmed | Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title_short | Design Performance and Frequency Response Analysis of SAW-Based Sensor for Dichloromethane Gas Sensing Amidst the COVID-19 |
title_sort | design performance and frequency response analysis of saw-based sensor for dichloromethane gas sensing amidst the covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585997/ http://dx.doi.org/10.1007/s42417-020-00257-8 |
work_keys_str_mv | AT kumarmukesh designperformanceandfrequencyresponseanalysisofsawbasedsensorfordichloromethanegassensingamidstthecovid19 AT bhadudeepak designperformanceandfrequencyresponseanalysisofsawbasedsensorfordichloromethanegassensingamidstthecovid19 |