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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/6666

Title: Detection of volatile organic compounds using quartz crystal microbalance sensor array and artificial neural network
Authors: Noorsal, E.
Othman, Sidek
J. Mohamad-Saleh
Mohd Noor, Ahmad
Keywords: Electronic noses;Pattern recognition;Sensor arrays;Data acquisition;Microcontrollers;e-nose;Odors;Artificial neural network (ANN)
Issue Date: 2004
Publisher: Institute of Electrical and Electronics Engineering (IEEE)
Citation: p.930-935
Series/Report no.: 2004 IEEE Conference on Cybernetics and Intelligent Systems
Abstract: This paper presents the design and development of an odour sensing system based on a Quartz Crystal Microbalance (QCM) odour-sensor array and an artificial neural network (ANN) for the identification of some of the volatile organic compounds (VOCs) such as Acetone, Benzene, Chloroform, Ethanol and Methanol. The QCM sensors were developed using PVC-blended lipids as sensing materials. A home-built data acquisition and embedded pattern recognition system were developed using the Xilinx IC and AT89C52 Microcontroller. In addition, user interface software was developed to control the vapours flow system, data acquisition, process the acquired data and display the detected vapours using optimised neural network. The performance of this odour sensing system for VOCs emission detection was tested under laboratory conditions to determine its ability to detect single odour compound emission. Simulation and experimental results using an optimised neural network system confirmed that the proposed odour recognition system was effective in identifying the tested VOCs.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=31388&arnumber=1460713&count=137&index=55
http://hdl.handle.net/123456789/6666
ISBN: 0-7803-8643-4
Appears in Collections:School of Bioprocess Engineering (Articles)

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