Classification of fresh edible oils with piezoelectric quartz crystal based electronic nose

Hdl Handle:
http://hdl.handle.net/10149/97977
Title:
Classification of fresh edible oils with piezoelectric quartz crystal based electronic nose
Book Title:
Electronic noses and olfaction 2000: Proceedings of the seventh international symposium on olfaction and electronic noses
Authors:
Ali, Z. (Zulfiqur); O'Hare, W. T. (Liam); Rowell, F. J. (Frederick); Sarkodie-Gyan, T. (Thompson); Scott, S. M. (Simon); Theaker, B. J. (Brenden)
Editors:
Gardner, J. W.; Persaud, K. C. (Krishna)
Affiliation:
University of Teesside. School of Science and Technology.
Citation:
Ali, Z. et. al. (2000) 'Classification of fresh edible oils with piezoelectric quartz crystal based electronic nose', in Gardner, J. W. and Persaud, K. C. (eds) Electronic noses and olfaction 2000: Proceedings of the seventh international symposium on olfaction and electronic noses, Brighton, July 2000. Bristol: Institute of Physics Publishing, pp.229-234.
Publisher:
Institute of Physics Publishing
Conference:
seventh international symposium on olfaction and electronic noses, Brighton, July 2000
Issue Date:
2000
URI:
http://hdl.handle.net/10149/97977
Abstract:
An electronic nose based on an array of six coated Piezoelectric Quartz crystal (PZQ) sensors has been used for classification of fresh edible oils. The electronic nose was presented with 346 samples of fresh edible oil headspace volatiles, generated at 45ºC. Extra virgin olive (EVO), olive oil (OI) and sunflower oil (SFO), were used over a period of 30 days. The sensor responses were analysed using Principle Component Analysis (PCA), Simplified Fuzzy Adaptive Resonance Theory Mapping (SFAM), and fuzzy logistic classification (FLC). Results for SFAM and FLC were similar, both giving classifications above 95% for the test samples.
Type:
Meetings and Proceedings; Book Chapter
Language:
en
Keywords:
electronic nose; Piezoelectric Quartz crystal; edible oils; principle component analysis; simplified fuzzy adaptive resonance theory mapping; SFAM; fuzzy logic classification
ISBN:
9780750307642
Citation Count:
0 [Scopus, 05/05/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorAli, Z. (Zulfiqur)en
dc.contributor.authorO'Hare, W. T. (Liam)en
dc.contributor.authorRowell, F. J. (Frederick)en
dc.contributor.authorSarkodie-Gyan, T. (Thompson)en
dc.contributor.authorScott, S. M. (Simon)en
dc.contributor.authorTheaker, B. J. (Brenden)en
dc.contributor.editorGardner, J. W.en
dc.contributor.editorPersaud, K. C. (Krishna)en
dc.date.accessioned2010-05-05T12:32:25Z-
dc.date.available2010-05-05T12:32:25Z-
dc.date.issued2000-
dc.identifier.isbn9780750307642-
dc.identifier.urihttp://hdl.handle.net/10149/97977-
dc.description.abstractAn electronic nose based on an array of six coated Piezoelectric Quartz crystal (PZQ) sensors has been used for classification of fresh edible oils. The electronic nose was presented with 346 samples of fresh edible oil headspace volatiles, generated at 45ºC. Extra virgin olive (EVO), olive oil (OI) and sunflower oil (SFO), were used over a period of 30 days. The sensor responses were analysed using Principle Component Analysis (PCA), Simplified Fuzzy Adaptive Resonance Theory Mapping (SFAM), and fuzzy logistic classification (FLC). Results for SFAM and FLC were similar, both giving classifications above 95% for the test samples.en
dc.language.isoenen
dc.publisherInstitute of Physics Publishingen
dc.subjectelectronic noseen
dc.subjectPiezoelectric Quartz crystalen
dc.subjectedible oilsen
dc.subjectprinciple component analysisen
dc.subjectsimplified fuzzy adaptive resonance theory mappingen
dc.subjectSFAMen
dc.subjectfuzzy logic classificationen
dc.titleClassification of fresh edible oils with piezoelectric quartz crystal based electronic noseen
dc.typeMeetings and Proceedingsen
dc.typeBook Chapteren
dc.contributor.departmentUniversity of Teesside. School of Science and Technology.en
dc.title.bookElectronic noses and olfaction 2000: Proceedings of the seventh international symposium on olfaction and electronic nosesen
dc.identifier.conferenceseventh international symposium on olfaction and electronic noses, Brighton, July 2000en
ref.citationcount0 [Scopus, 05/05/2010]en
or.citation.harvardAli, Z. et. al. (2000) 'Classification of fresh edible oils with piezoelectric quartz crystal based electronic nose', in Gardner, J. W. and Persaud, K. C. (eds) Electronic noses and olfaction 2000: Proceedings of the seventh international symposium on olfaction and electronic noses, Brighton, July 2000. Bristol: Institute of Physics Publishing, pp.229-234.-
prism.startingPage229-
prism.endingPage234-
All Items in TeesRep are protected by copyright, with all rights reserved, unless otherwise indicated.