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Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor

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Main Authors: M. Z., Abdullah, A.S.A., Rahman, Ali Yeon, Md Shakaff, Mohd Noor, Ahmad
Format: Article
Language:English
Published: SAGE Publications 2009
Subjects:
Lipid-polymer membrane
Medicinal herbs
Multivariate discriminant analysis
Taste sensor
Optical data processing
Image processing
Digital signal processing (DSP)
Digital electronics
Herbs
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6692
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spelling my.unimap-66922009-08-06T13:07:59Z Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor M. Z., Abdullah A.S.A., Rahman Ali Yeon, Md Shakaff Mohd Noor, Ahmad Lipid-polymer membrane Medicinal herbs Multivariate discriminant analysis Taste sensor Optical data processing Image processing Digital signal processing (DSP) Digital electronics Herbs Link to publisher's homepage at http://tim.sagepub.com/ Eurycoma longifolia Jack (ELJ), better known as Malaysian Ginseng, is fast becoming popular due to its efficacy as a general health and testosterone booster, and for its known aphrodisiac properties. With the growing popularity of ELJ, together with the increasing consumer demand for healthy foods, it is expected that the number of healthy food suppliers boasting claims that their products are enriched with this medicinal herb will also increase. It is, therefore, important to device a strategy that can rapidly provide corroborating evidence in order to assess the authenticity of such a claim onsite. A portable electronic taste sensor employing digital signal processing (DSP) technology was developed to meet this objective. The sensor was constructed from eight kinds of lipid membranes forming the multichannel artificial taste-sensing equipment. The system was trained to detect ELJ into four different concentrations: 0.01%, 0.03%, 0.05% and 0.08%. Over 100 samples were tested, from which the taste system was able to correctly classify the test mixtures at a greater than 90% success rate. This classification success rate, however, dropped to well below 50% when data from multichannel were used independently, indicating the between-channel variations were relatively small. Data fusion via principal component analysis helped enlarge the variation with the first and second principal components, contributed nearly 92% of the total variance. Equipped with 32-bit state-of-the-art DSPs, the taste system allowed both training and testing schemes to be implemented directly onboard. 2009-08-06T13:07:36Z 2009-08-06T13:07:36Z 2004 Article Transactions of the Institute of Measurement & Control, vol.26 (1), 2004, pages : 65-87. 0142-3312 (Print) 1477-0369 (Online) http://tim.sagepub.com/cgi/content/abstract/26/1/19 http://hdl.handle.net/123456789/6692 en SAGE Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Lipid-polymer membrane
Medicinal herbs
Multivariate discriminant analysis
Taste sensor
Optical data processing
Image processing
Digital signal processing (DSP)
Digital electronics
Herbs
spellingShingle Lipid-polymer membrane
Medicinal herbs
Multivariate discriminant analysis
Taste sensor
Optical data processing
Image processing
Digital signal processing (DSP)
Digital electronics
Herbs
M. Z., Abdullah
A.S.A., Rahman
Ali Yeon, Md Shakaff
Mohd Noor, Ahmad
Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
description Link to publisher's homepage at http://tim.sagepub.com/
format Article
author M. Z., Abdullah
A.S.A., Rahman
Ali Yeon, Md Shakaff
Mohd Noor, Ahmad
author_facet M. Z., Abdullah
A.S.A., Rahman
Ali Yeon, Md Shakaff
Mohd Noor, Ahmad
author_sort M. Z., Abdullah
title Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
title_short Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
title_full Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
title_fullStr Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
title_full_unstemmed Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor
title_sort discrimination and classification of eurycoma longifolia jack in medicinal foods by means of a dsp-based electronic taste sensor
publisher SAGE Publications
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6692
_version_ 1643788537736200192
score 13.222552

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