Airborne virus detection by a sensing system using a disposable integrated impaction device

Abstract

There are many respiratory infections such as influenza that cause epidemics. These respiratory infection epidemics can be effectively prevented by determining the presence or absence of infections in patients using frequent tests. We think that self-diagnosis may be possible using a system that can collect and detect biological aerosol particles in the patient's breath because breath sampling is easy work requiring no examiner. In this paper, we report a sensing system for biological aerosol particles (SSBAP) with a disposable device. Using the system and the device, someone with no medical knowledge or skills can safely, easily, and rapidly detect infectious biological aerosol particles. The disposable device, which is the core of the SSBAP, can be an impactor for biological aerosol particles, a flow-cell for reagents, and an optical window for the fluorescent detection of collected particles. Furthermore, to detect the fluorescence of very small collected particles, this disposable device is covered with a light-blocking film that lets only fluorescence of particles pass through a fluorescence detector of the SSBAP. The SSBAP using the device can automatically detect biological aerosol particles by the following process: collecting biological aerosol particles from a patient's breath in a sampling bag by the impaction method, labeling the collected biological aerosol particles with fluorescent dyes by the antigen-antibody reaction, removing free fluorescent dyes, and detecting the fluorescence of the biological aerosol particles. The collection efficiency of the device for microspheres aerosolized in the sampling bag was more than 97%, and the SSBAP with the device could detect more than 8.3 × 10(3) particles l(-1) of aerosolized influenza virus particles within 10 min.

Virus-sampling technologies in different environments

“…Various sampling principles like impaction, impingement, electrostatic precipitation, filtration, and cyclone have been applied to viral bioaerosol. 7 , 10 , 11 In a study, the collection performance of four devices including all-glass impinger (AGI), impinger (AGI-30), one-stage Anderson impactor (1-STG), gelatin filter, and nucleoporous polycarbonate filter were employed for four bacteriophages. The results showed that about 95% of the cultured phages with a particle diameter of less than 2.1 μm were collected by the Anderson 6-STG impactor.…”

Analysis of Deep Learning Techniques for Tuberculosis Disease

“…The downside of the method, as mentioned earlier, is cost-efficient, and medical experts are required to diagnose the disease [11]. Therefore, the emphasis was on the image processing side to diagnose airborne disease [12].…”