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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers, Inc.
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848786680300961792 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:12:53Z |
| format | Proceeding Paper |
| id | iium-66998 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:12:53Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK7885 Computer engineering |
| 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 |