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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6693

Title: A microcontroller-based taste sensing system for the verification of Eurycoma longifolia
Authors: Rahman, A. S A
Yap, M. M S
Ali Yeon, Md Shakaff
Mohd Noor, Ahmad
Dahari, Z.
Zhari, Ismail
Muhammad Suzuri, Hitam
Keywords: Artificial neural network application;Electronic taste sensing;E-tongue;Eurycoma longifolia verification;Herbs;Detectors;Neural networks (Computer science);Taste sensing system
Issue Date: Jun-2004
Publisher: Elsevier
Citation: Sensors and Actuators, B: Chemical, vol.101 (1-2), 2004, pages 191-198.
Abstract: With 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.
Description: Link to publisher's homepage at www.elsevier.com
URI: http://www.sciencedirect.com/science/journal/09254005
http://hdl.handle.net/123456789/6693
ISSN: 0925-4005
Appears in Collections:School of Computer and Communication Engineering (Articles)
Ali Yeon, Md Shakaff, Prof. Dr.

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