Embedded Electronic Nose and Supporting Software Tool for its Parameter Optimization

This paper details the work done towards a low cost, small size, portable embedded electronic nose (e-nose) and its application for analysis of different VOC mixtures. The sensor array is composed of commercially available metal oxide semiconductor sensors by Figaro. The Embedded E-nose consists of...

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Bibliographic Details
Published in:	Sensors and actuators. B, Chemical Vol. 146; no. 2; pp. 453 - 459
Main Authors:	Botre, B.A., Gharpure, D.C., Shaligram, A.D.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 29-04-2010
Subjects:	Electronic noses Embedded electronic nose Integrated Development Environment Neural networks Optimization Polycarbonates Qualitative and quantitative analysis Quantitative analysis Sensor arrays Sensors Training Integrated Development Environment Qualitative and quantitative analysis Embedded electronic nose
Online Access:	Get full text
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Summary:	This paper details the work done towards a low cost, small size, portable embedded electronic nose (e-nose) and its application for analysis of different VOC mixtures. The sensor array is composed of commercially available metal oxide semiconductor sensors by Figaro. The Embedded E-nose consists of an ADuC831 and has an RS 232 interface to Desktop PC for higher level data collection and NN training. An E-nose Software Package (ESP) Integrated Development Environment (IDE) is implemented for the design and development of Embedded E-nose. The IDE facilitates the parameter optimization of data acquisition, signal pre-processing, feature extraction and Multilayer Perceptron Neural Network (MLP NN) training. The optimized parameters are then downloaded onto Embedded E-nose by means of docking the device to the ESP tool via PC serial port. The Embedded E-nose is used for realization of both qualitative as well as quantitative analysis and their results are discussed.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0925-4005 1873-3077
DOI:	10.1016/j.snb.2009.11.033