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Continuous wide spectrum odor sensing for electronic nose system

Wenli Zhang (College of Communication Engineering, Chongqing University, Chongqing, China)
Fengchun Tian (College of Communication Engineering, Chongqing University, Chongqing, China)
An Song (College of Communication Engineering, Chongqing University, Chongqing, China)
Zhenzhen Zhao (College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China)
Youwen Hu (College of Communication Engineering, Chongqing University, Chongqing, China)
Anyan Jiang (College of Communication Engineering, Chongqing University, Chongqing, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 21 December 2017

Issue publication date: 6 March 2018

154

Abstract

Purpose

This paper aims to propose an odor sensing system based on wide spectrum for e-nose, based on comprehensive analysis on the merits and drawbacks of current e-nose.

Design/methodology/approach

The wide spectral light is used as the sensing medium in the e-nose system based on continuous wide spectrum (CWS) odor sensing, and the sensing response of each sensing element is the change of light intensity distribution.

Findings

Experimental results not only verify the feasibility and effectiveness of the proposed system but also show the effectiveness of least square support vector machine (LSSVM) in eliminating system errors.

Practical implications

Theoretical model of the system was constructed, and experimental tests were carried out by using NO2 and SO2. System errors in the test data were eliminated using the LSSVM, and the preprocessed data were classified by euclidean distance to centroids (EDC), k-nearest neighbor (KNN), support vector machine (SVM), LSSVM, respectively.

Originality/value

The system not only has the advantages of current e-nose but also realizes expansion of sensing array by means of light source and the spectrometer with their wide spectrum, high resolution characteristics which improve the detection accuracy and realize real-time detection.

Keywords

Acknowledgements

This work was supported by the Basic Science and Frontier Technology Special Project of Chongqing (Project No. cstc2015jcyjBX0042) and the Fundamental Research Funds for the Central Universities (Project No. 106112017CDJPT160001).

Citation

Zhang, W., Tian, F., Song, A., Zhao, Z., Hu, Y. and Jiang, A. (2018), "Continuous wide spectrum odor sensing for electronic nose system", Sensor Review, Vol. 38 No. 2, pp. 223-230. https://doi.org/10.1108/SR-04-2017-0067

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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