센서학회지 (Journal of Sensor Science and Technology)

  • 제32권1호
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  • Pages.1-9
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  • 2023
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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Breath Gas Sensors for Diabetes and Lung Cancer Diagnosis

  • Byeongju Lee (Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute (ETRI)) ;
  • Jin-Oh Lee (Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute (ETRI)) ;
  • Junyeong Lee (Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute (ETRI)) ;
  • Inkyu Park (Department of Mechanical Engineering, KAIST) ;
  • Dae-Sik Lee (Welfare & Medical ICT Research Department, Electronics and Telecommunications Research Institute (ETRI))
  • 투고 : 2022.11.21
  • 심사 : 2022.12.01
  • 발행 : 2023.01.31
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초록

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.

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과제정보

This work was supported by the National Research Foundation of Korea under research projects number NRF-2017M3A9F1033056 and NRF-2021M3H4A4079271.

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