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dc.contributor.authorRahman, A. S A-
dc.contributor.authorYap, M. M S-
dc.contributor.authorAli Yeon, Md Shakaff-
dc.contributor.authorMohd Noor, Ahmad-
dc.contributor.authorDahari, Z.-
dc.contributor.authorZhari, Ismail-
dc.contributor.authorMuhammad Suzuri, Hitam-
dc.date.accessioned2009-08-06T13:20:49Z-
dc.date.available2009-08-06T13:20:49Z-
dc.date.issued2004-06-
dc.identifier.citationSensors and Actuators, B: Chemical, vol.101 (1-2), 2004, pages 191-198.en_US
dc.identifier.issn0925-4005-
dc.identifier.urihttp://www.sciencedirect.com/science/journal/09254005-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6693-
dc.descriptionLink to publisher's homepage at www.elsevier.comen_US
dc.description.abstractWith the proliferation of numerous herbal remedies on the market, the ability to verify the actual presence of the active herbal ingredient in a product would be very useful. In this paper, a microcontroller-based electronic taste sensing system capable of discriminating between liquid samples containing Eurycoma longifolia and those that do not, is described. The ‘taste’ of the liquid sample is sensed using specially fabricated disposable screen-printed array of non-specific lipid-membrane sensors and classified by means of artificial neural network (ANN). The overall system is controlled by an embedded microcontroller, which performed the data acquisition, the ANN-based pattern recognition and the user interface tasks. From the extensive tests that were performed, excellent recognition results have been obtained. The system is flexible and could easily be trained for other herbal samples.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectArtificial neural network applicationen_US
dc.subjectElectronic taste sensingen_US
dc.subjectE-tongueen_US
dc.subjectEurycoma longifolia verificationen_US
dc.subjectHerbsen_US
dc.subjectDetectorsen_US
dc.subjectNeural networks (Computer science)en_US
dc.subjectTaste sensing systemen_US
dc.titleA microcontroller-based taste sensing system for the verification of Eurycoma longifoliaen_US
dc.typeArticleen_US
Appears in Collections:School of Computer and Communication Engineering (Articles)
Ali Yeon Md Shakaff, Dato' Prof. Dr.

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