Design of an efficient electronic nose system for odour analysis and assessment

Zhang, W; Liu, T; Ueland, M; Forbes, SL; Wang, RX; Su, SW

Design of an efficient electronic nose system for odour analysis and assessment

Zhang, W

Liu, T

Ueland, M

Forbes, SL Wang, RX Su, SW

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Measurement: Journal of the International Measurement Confederation, 2020, 165
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Zhang, W https://orcid.org/0000-0002-2064-0326
dc.contributor.author	Liu, T https://orcid.org/0000-0003-3827-7489
dc.contributor.author	Ueland, M https://orcid.org/0000-0002-9155-3502
dc.contributor.author	Forbes, SL
dc.contributor.author	Wang, RX
dc.contributor.author	Su, SW
dc.date.accessioned	2020-11-17T02:59:20Z
dc.date.available	2020-11-17T02:59:20Z
dc.date.issued	2020-12-01
dc.identifier.citation	Measurement: Journal of the International Measurement Confederation, 2020, 165
dc.identifier.issn	0263-2241
dc.identifier.issn	1873-412X
dc.identifier.uri	http://hdl.handle.net/10453/144087
dc.description.abstract	© 2020 Elsevier Ltd This paper presents an efficient electronic nose (e-nose) system, named “NOS.E”, for odour analysis and assessment. In addition to the reliable hardware and software designs, an airflow intake system is implemented to ensure the precise odour analysis procedure in the NOS.E system. Additionally, a particular control logic was introduced to improve the test efficiency of the NOS.E by reducing operation time. Furthermore, the fault detection and alarming design can generate a high-reliability performance by constantly monitoring its working status. To evaluate the performance of the NOS.E, three types of alcohols were tested by the NOS.E and compared to data collected by comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS). The results indicate that the NOS.E can successfully distinguish three different alcohols with high efficiency and low cost and has the potential to be a universal odour analysis platform implemented in various applications.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Measurement: Journal of the International Measurement Confederation
dc.relation.isbasedon	10.1016/j.measurement.2020.108089
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0913 Mechanical Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Design of an efficient electronic nose system for odour analysis and assessment
dc.type	Journal Article
utslib.citation.volume	165
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-11-17T02:59:15Z
pubs.publication-status	Accepted
pubs.volume	165

Abstract:

© 2020 Elsevier Ltd This paper presents an efficient electronic nose (e-nose) system, named “NOS.E”, for odour analysis and assessment. In addition to the reliable hardware and software designs, an airflow intake system is implemented to ensure the precise odour analysis procedure in the NOS.E system. Additionally, a particular control logic was introduced to improve the test efficiency of the NOS.E by reducing operation time. Furthermore, the fault detection and alarming design can generate a high-reliability performance by constantly monitoring its working status. To evaluate the performance of the NOS.E, three types of alcohols were tested by the NOS.E and compared to data collected by comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS). The results indicate that the NOS.E can successfully distinguish three different alcohols with high efficiency and low cost and has the potential to be a universal odour analysis platform implemented in various applications.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/144087