Detection of COVID-19 infection based on electronic nose technique: preliminary study
Issued Date
2022-01-01
Resource Type
Scopus ID
2-s2.0-85128170941
Journal Title
Proceedings of the 2022 International Electrical Engineering Congress, iEECON 2022
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings of the 2022 International Electrical Engineering Congress, iEECON 2022 (2022)
Suggested Citation
Phukkaphan N., Eamsa-Ard T., Aunsa-Ard W., Khunarak C., Nitivanichsakul T., Roongpuvapaht B., Kerdcharoen T. Detection of COVID-19 infection based on electronic nose technique: preliminary study. Proceedings of the 2022 International Electrical Engineering Congress, iEECON 2022 (2022). doi:10.1109/iEECON53204.2022.9741576 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84399
Title
Detection of COVID-19 infection based on electronic nose technique: preliminary study
Other Contributor(s)
Abstract
The coronavirus COVID-19 pandemic have reached almost every country in the world and caused a global health crisis. It is necessary to detect COVID-19 with fast and accurate diagnosis method in order to prevent the rapid spread of Covid-19. This paper presents a preliminary study of using electronic nose (e-nose) technology for detection of COVD-19 infection. In this experiment, the human exhaled breaths of healthy volunteers, asymptomatic and symptomatic COVID-19 patients were collected with commercial face masks for 5 minutes followed by the measurement with an e-nose machine in a closed system. The COVID-19 positivity was confirmed by RT-PCR method. According to the experiment, the odor intensity of human exhaled breath can be described with the total sensing response value. The exhaled breath of COVID-19 infected patients show higher odor intensity than the healthy volunteers (control). The Principal Component Analysis (PCA) shows the classification of three data groups; healthy volunteers, COVID-19 infected patients and unclassified people. For the unclassified cases, the medical record has shown that these people have been subjected either to some respiratory diseases or just recovered from COVID-19 infection. From these preliminary results, e-nose technology and its measurement proto-cols can be considered as a viable tool for COVID-19 rapid detection.