Covid19 Clinical Trial
Official title:
Can the Electronic Nose Smell COVID-19? A Proof-of-principle Study
Infection with SARS-CoV-2 causes Corona Virus Disease (COVID-19). The most standard
diagnostic method is reverse transcription-polymerase chain reaction (RT-PCR) on a
nasopharyngeal and/or an oropharyngeal swab. The high occurrence of false-negative results
due to the non-presence of SARS-CoV-2 in the oropharyngeal environment renders this sampling
method not ideal. Therefore, a new sampling device is desirable. This proof-of-principle
study investigates the possibility to train machine-learning classifiers with an electronic
nose (Aeonose) to differentiate between COVID-19 positive- and negative persons based on
volatile organic compounds (VOCs) analysis.
Methods: between April and June 2020, participants were invited for breath analysis when a
swab for RT-PCR was collected. If the RT-PCR resulted negative, presence of SARS-CoV-2
specific antibodies was checked to confirm the negative result. All participants breathed
through the Aeonose for five minutes. This device contains metal-oxide sensors that change in
conductivity upon reaction with VOCs in exhaled breath. These conductivity changes are input
data for machine-learning and used for pattern recognition. The result is a value between -1
and +1, indicating the infection probability.
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