Electronic Nose Applications

Electronic Nose Applications

Ping Wang, Fan Gao, Xusheng Zhang, Min Wang
Copyright: © 2018 |Pages: 28
DOI: 10.4018/978-1-5225-3862-2.ch006
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In this chapter, the authors introduce three typical applications of electronic nose, including the diagnosis of lung cancer and gastrointestinal diseases and food freshness detection. Firstly, an electronic nose system intended for lung cancer screening employs semiconductor and electrochemical sensors to compose an array in a chamber to conduct breath analysis with pre-concentration and multiple desorption procedures. Secondly, a design of virtual electronic nose was presented to detect the concentration of hydrogen, methane, and carbon dioxide in breath for the diagnosis of small intestinal bacterial overgrowth. Finally, combined with the metal oxide semiconductor sensors and electrochemical sensors array, the small size electronic nose system is to identify the freshness and classify different kinds of food stored in the refrigerator.
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Lung Cancer Diagnosis

The electronic nose technology, with the advantages of fast response and portable size, has been widely studied in the application of lung cancer diagnosis through breath test. The electric nose has many promising applications. There is still no last word in the research of breath biomarkers relating to lung cancer, and the results from different research team are all a combination of different kinds of volatile organic compounds (VOCs). In the application of electronic nose in detection of lung cancer, many biomarkers need to be detected, including VOCs of both low molecular weight and high molecular weight. Single kind of gas sensors cannot be sensitive to all the biomarkers (Gouma et al., 2011). So we developed an electronic nose system based on mixed gas sensors array and recognition algorithm. The electronic nose must be sensitive enough to many kinds of VOCs to work as an efficient breath diagnostic tool. However, the common electronic nose based on single kind of sensor, such as metal oxide semiconductor (MOS) sensors and conductive polymer (CP), cannot detect all of the biomarkers, and furthermore, it cannot supply all of the useful information and give a reliable detection result. To get better recognition results, an electronic nose based on surface acoustic wave (SAW) combined with MOS sensors was presented in this section.

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