Detection of COVID-19 infection based on electronic nose technique : preliminary study

Name: Natnaree Phukkaphan

Organization : Mahidol University. Faculty of Science

Name: Tanthip Eamsa-ard

Organization : Mahidol University. Faculty of Science

Name: Wandee Aunsa-Ard

Organization : Mahidol University. Faculty of Science

Name: Chayanin Khunarak

Organization : Mahidol University. Faculty of Science

Name: Tuleeya Nitivanichsakul

Organization : Ramathibodi Hospital. Faculty of Medicine

Name: Boonsam Roongpuvapaht

Organization : Mahidol University. Faculty of Medicine

Name: Teerakiat Kerdcharoen

Organization : Mahidol University. Faculty of Science

keyword: Electronic nose

LCSH: COVID-19 -- Diagnosis

; Disease detection

LCSH: Respiratory infections

; Biomedical instrumentation

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 diagno-sis 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 ex-periment, the human exhaled breaths of healthy volunteers, asymptomatic and symptomatic COVID-19 patients were col-lected 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. Accord-ing 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.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2022

Modified: 2025-08-22

Issued: 2025-08-22

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BibliograpyCitation : In Electrical Engineering Academic Association (Thailand) and Rajamangala University of Technology Isan Khon Kaen Campus. Faculty of Engineering. The 2022 International Electrical Engineering Congress (iEECON 2022) (P01801). Khon Kaen : Rajamangala University of Technology Isan, 2022

eng

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