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.

journal_name

J Breath Res

authors

Takenaka K,Togashi S,Miyake R,Sakaguchi T,Hide M

doi

10.1088/1752-7155/10/3/036009

subject

Has Abstract

pub_date

2016-07-22 00:00:00

pages

036009

issue

3

eissn

1752-7155

issn

1752-7163

journal_volume

10

pub_type

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