Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition.

ABSTRACT: The reverse transcription-quantitative polymerase chain reaction (RT-qPCR) approach has been widely used to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, instead of using it alone, clinicians often prefer to diagnose the coronavirus disease 2019 (COVID-19) by utilizing a combination of clinical signs and symptoms, laboratory test, imaging measurement (e.g., chest computed tomography scan), and multivariable clinical prediction models, including the electronic nose. Here, we report on the development and use of a low cost, noninvasive method to rapidly sniff out COVID-19 based on a portable electronic nose (GeNose C19) integrating an array of metal oxide semiconductor gas sensors, optimized feature extraction, and machine learning models. This approach wa

SUBMITTER: Nurputra DK 

PROVIDER: S-EPMC9379872 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature