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Title: Correlation studies between electronic nose response and headspace volatiles of Eurycoma longifolia extracts
Authors: Shafiqul Islam, A.K.M.
Zhari, Ismail
Bahruddin, Saad
Abdul Rahman, Othman
M. Nizam, Ahmad
Ali Yeon, Md Shakaff
Keywords: Electronic nose;Lipids;Medicinal plants;Eurycoma longifolia;e-nose;Detectors -- Design and construction;Chemical detectors
Issue Date: Dec-2006
Publisher: Elsevier B.V.
Citation: Sensors and Actuators, B: Chemical, vol.120 (1), 2006, pages 245-251.
Abstract: Most herbs have their own characteristic smell due to the presence of volatile compounds. Traditionally, volatiles are analyzed by using sophisticated and expensive gas chromatography (GC) in tandem with a selective mass spectrometric (MS) detector. An alternative approach is described based on the use of an electronic nose. The approach is much simpler than the traditional GC–MS counterparts, but providing key information of the samples analyzed. Using lipids and gas chromatography stationary phase materials with different polarities as sensing membranes, a quartz crystal microbalance smell sensor array has been developed for the analysis of traditional medicinal plants. The headspace vapors of different types of Tongkat Ali (Eurycoma longifolia) extracts were analyzed by the smell sensor and GC–MS. Correlation between the sensor response and the identified compounds were studied using principal component analysis. Some of the identified compounds exhibited good correlation with the quartz crystal microbalance (QCM) sensor array data.
Description: Link to publisher's homepage at www.elsevier.com
URI: http://www.sciencedirect.com/science/journal/09254005
ISSN: 0925-4005
Appears in Collections:School of Computer and Communication Engineering (Articles)
Ali Yeon, Md Shakaff, Prof. Dr.

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