Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis

Abstract- Breath analysis is the recent technique used to detect diseases. Among the advantages of breath analysis are high sensitivity and fast detection. Surface acoustic wave (SAW) gas sensor is one of the sensors that can be used to analyze breath analysis. This work reports on the design an...

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Main Authors: Mohamad Razali, Nur Fatin, Md Ralib @ Md Raghib, Aliza 'Aini, Ab Rahim, Rosminazuin
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers, Inc. 2018
Subjects:
Online Access:http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/1/66998_Performance%20Analysis%20of%20SAW%20Gas%20Sensor.pdf
http://irep.iium.edu.my/66998/7/66998_Performance%20analysis%20of%20SAW%20gas%20sensor_.scopus.pdf
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recordtype eprints
spelling iium-669982019-01-02T02:54:25Z http://irep.iium.edu.my/66998/ Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis Mohamad Razali, Nur Fatin Md Ralib @ Md Raghib, Aliza 'Aini Ab Rahim, Rosminazuin TK7885 Computer engineering Abstract- Breath analysis is the recent technique used to detect diseases. Among the advantages of breath analysis are high sensitivity and fast detection. Surface acoustic wave (SAW) gas sensor is one of the sensors that can be used to analyze breath analysis. This work reports on the design and simulation of SAW gas sensor using a FEM simulator, COMSOL Multiphysics. We analyze the possibilities of increasing the quality factor, coupling coefficient and the wave velocity of the devices by varying the number of interdigitated electrodes (IDTs). We designed and simulated IDTs pf different finger number (IDT= 2, 4, 8, 12, 16, 20, 24, 28 and 32). The measured quality factor, coupling coefficient and wave velocity confirms that varying the number of IDTs fingers enables to reach better electrical performances at resonances frequency around 943 MHz. Institute of Electrical and Electronics Engineers, Inc. 2018 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/66998/1/66998_Performance%20Analysis%20of%20SAW%20Gas%20Sensor.pdf application/pdf en http://irep.iium.edu.my/66998/7/66998_Performance%20analysis%20of%20SAW%20gas%20sensor_.scopus.pdf Mohamad Razali, Nur Fatin and Md Ralib @ Md Raghib, Aliza 'Aini and Ab Rahim, Rosminazuin (2018) Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis. In: 2018 IEEE International Conference on Semiconductor Electronics (ICSE), 15th-17th Aug. 2018, Pullman Kuala Lumpur City Centre Hotel and ResidenceKuala Lumpur. http://doi.org/10.1109/SMELEC.2018.8481312 10.1109/SMELEC.2018.8481312
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Mohamad Razali, Nur Fatin
Md Ralib @ Md Raghib, Aliza 'Aini
Ab Rahim, Rosminazuin
Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
description Abstract- Breath analysis is the recent technique used to detect diseases. Among the advantages of breath analysis are high sensitivity and fast detection. Surface acoustic wave (SAW) gas sensor is one of the sensors that can be used to analyze breath analysis. This work reports on the design and simulation of SAW gas sensor using a FEM simulator, COMSOL Multiphysics. We analyze the possibilities of increasing the quality factor, coupling coefficient and the wave velocity of the devices by varying the number of interdigitated electrodes (IDTs). We designed and simulated IDTs pf different finger number (IDT= 2, 4, 8, 12, 16, 20, 24, 28 and 32). The measured quality factor, coupling coefficient and wave velocity confirms that varying the number of IDTs fingers enables to reach better electrical performances at resonances frequency around 943 MHz.
format Conference or Workshop Item
author Mohamad Razali, Nur Fatin
Md Ralib @ Md Raghib, Aliza 'Aini
Ab Rahim, Rosminazuin
author_facet Mohamad Razali, Nur Fatin
Md Ralib @ Md Raghib, Aliza 'Aini
Ab Rahim, Rosminazuin
author_sort Mohamad Razali, Nur Fatin
title Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
title_short Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
title_full Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
title_fullStr Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
title_full_unstemmed Performance analysis of SAW gas sensor based on ST-Cut quartz for breath analysis
title_sort performance analysis of saw gas sensor based on st-cut quartz for breath analysis
publisher Institute of Electrical and Electronics Engineers, Inc.
publishDate 2018
url http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/
http://irep.iium.edu.my/66998/1/66998_Performance%20Analysis%20of%20SAW%20Gas%20Sensor.pdf
http://irep.iium.edu.my/66998/7/66998_Performance%20analysis%20of%20SAW%20gas%20sensor_.scopus.pdf
first_indexed 2023-09-18T21:35:08Z
last_indexed 2023-09-18T21:35:08Z
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