Breath Gas Sensors for Diabetes and Lung Cancer Diagnosis

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Recently, the digital healthcare technologies including non-invasive diagnostics based on Internet of Things (IOT) are getting attention. Human exhaled breath contains a variety of volatile organic compounds (VOCs), which can provide information of malfunctions of the body and presence of a specific disease. Detection of VOCs in exhaled breath using gas sensors are easy to use, safe, and cost-effective. However, accurate diagnosis of diseases is challenging because changes in concentration of VOCs are extremely small and lots of body factors directly or indirectly influence to the conditions. To overcome the limitations, highly selective nanosensors and artificial intelligent electronic nose (E-nose) systems have been mainly researched in recent decades. This review provides brief reviews of the recent studies for diabetes and lung cancer diagnosis using nanosensors and E-nose systems.
Publisher
Korean Sensors Society
Issue Date
2023-01
Language
English
Article Type
Article
Citation

Journal of Sensor Science and Technology, v.32, no.1, pp.1 - 9

ISSN
1225-5475
DOI
10.46670/JSST.2023.32.1.1
URI
http://hdl.handle.net/10203/315630
Appears in Collection
ME-Journal Papers(저널논문)
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