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Journal Article
Breath Gas Sensors for Diabetes and Lung Cancer Diagnosis
- Authors
- Byeongju Lee, Jin-Oh Lee, Junyeong Lee, Inkyu Park, Dae-Sik Lee
- Issue Date
- 2023-01
- Citation
- 센서학회지, v.32, no.1, pp.1-9
- ISSN
- 1225-5475
- Publisher
- 한국센서학회
- Language
- English
- Type
- Journal Article
- Abstract
- 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.
- KSP Keywords
- Artificial Intelligent, Digital healthcare, Human exhaled breath, Lung Cancer Diagnosis, Non-invasive diagnostics, Volatile Organic Compounds, cost-effective, diagnosis of diseases, gas sensor, internet of things(IoT), the body
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
(CC BY NC)
