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Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical

Background: Electronic nose consists of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are adsorbed on the sensor's surface. The election of the best gas sensor that suits to the target gas detection is very crucial in order to capture...

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Main Authors: Mohamad Yusof, U. K., Che Soh, Azura, M. Radzi, N. F., Ishak, Asnor Juraiza, Hassan, Mohd Khair, Ahmad, Siti Anom, Khamis, Shamsul
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information (AENSI) Publications 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46250/1/Selection%20of%20feature%20analysis%20electronic%20nose%20signals%20based%20on%20the%20correlation%20between%20gas%20sensor%20and%20herbal%20phytochemical.pdf
http://psasir.upm.edu.my/id/eprint/46250/
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spelling my.upm.eprints.462502022-06-16T08:37:10Z http://psasir.upm.edu.my/id/eprint/46250/ Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical Mohamad Yusof, U. K. Che Soh, Azura M. Radzi, N. F. Ishak, Asnor Juraiza Hassan, Mohd Khair Ahmad, Siti Anom Khamis, Shamsul Background: Electronic nose consists of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are adsorbed on the sensor's surface. The election of the best gas sensor that suits to the target gas detection is very crucial in order to capture the desired signal to be used in further process to design e-nose for odor detection with high rate of classification. In this study, five herbs were chosen as sample for electronic nose development. The volatile chemical compound in herbs as the source of the odor will be characterized by using gas chromatography–mass spectrometry test. The result of the test is useful to determine the potential gas sensor for e-nose. The process is followed by one to five feature analysis of the e-nose signal to find the best gas sensor array. Objective: The selection of gas sensors is investigated in order to design e-nose for odor detection. Results Feature analysis shows that five feature analyses by using five types of gas sensor for e-nose give the best result as the 90% accuracy of classification. Conclusion: Five types of gas sensors have been determined from the phytochemical’s results of GCMS test. Hence, it will be used as sensor array in e-nose application for herbs classification. American-Eurasian Network for Scientific Information (AENSI) Publications 2015-03 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46250/1/Selection%20of%20feature%20analysis%20electronic%20nose%20signals%20based%20on%20the%20correlation%20between%20gas%20sensor%20and%20herbal%20phytochemical.pdf Mohamad Yusof, U. K. and Che Soh, Azura and M. Radzi, N. F. and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Ahmad, Siti Anom and Khamis, Shamsul (2015) Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical. Australian Journal of Basic and Applied Sciences, 9 (5). pp. 360-367. ISSN 1991-8178; ESSN: 2309-8414 http://www.ajbasweb.com/old/ajbas_March_2015.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Background: Electronic nose consists of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are adsorbed on the sensor's surface. The election of the best gas sensor that suits to the target gas detection is very crucial in order to capture the desired signal to be used in further process to design e-nose for odor detection with high rate of classification. In this study, five herbs were chosen as sample for electronic nose development. The volatile chemical compound in herbs as the source of the odor will be characterized by using gas chromatography–mass spectrometry test. The result of the test is useful to determine the potential gas sensor for e-nose. The process is followed by one to five feature analysis of the e-nose signal to find the best gas sensor array. Objective: The selection of gas sensors is investigated in order to design e-nose for odor detection. Results Feature analysis shows that five feature analyses by using five types of gas sensor for e-nose give the best result as the 90% accuracy of classification. Conclusion: Five types of gas sensors have been determined from the phytochemical’s results of GCMS test. Hence, it will be used as sensor array in e-nose application for herbs classification.
format Article
author Mohamad Yusof, U. K.
Che Soh, Azura
M. Radzi, N. F.
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Ahmad, Siti Anom
Khamis, Shamsul
spellingShingle Mohamad Yusof, U. K.
Che Soh, Azura
M. Radzi, N. F.
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Ahmad, Siti Anom
Khamis, Shamsul
Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
author_facet Mohamad Yusof, U. K.
Che Soh, Azura
M. Radzi, N. F.
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Ahmad, Siti Anom
Khamis, Shamsul
author_sort Mohamad Yusof, U. K.
title Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
title_short Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
title_full Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
title_fullStr Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
title_full_unstemmed Selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
title_sort selection of feature analysis electronic nose signals based on the correlation between gas sensor and herbal phytochemical
publisher American-Eurasian Network for Scientific Information (AENSI) Publications
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/46250/1/Selection%20of%20feature%20analysis%20electronic%20nose%20signals%20based%20on%20the%20correlation%20between%20gas%20sensor%20and%20herbal%20phytochemical.pdf
http://psasir.upm.edu.my/id/eprint/46250/
http://www.ajbasweb.com/old/ajbas_March_2015.html
_version_ 1736835677480288256
score 13.211869

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