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Electrochemical Detection of Airborne Influenza Virus using Air Sampling System

Category: Aerosol Physics and Instrumentation

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DOI: 10.4209/aaqr.2018.06.0221
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Hyeong-U Kim1, Junhong Min2, Geunsang Park3, Dongjoo Shin3, Giwoon Sung3, Taesung Kim 1,3, Min-Ho Lee 2

  • 1 SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746, Korea
  • 2 School of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea
  • 3 School of Mechanical Engineering, Sungkyunkwan University, Suwon 440-746, Korea


Custom-made air sampler system and electrochemistry were developed and measured.
The air sampler was designed by numerical prediction depending on flow rate.
Collection efficiency was evaluated with controlled injection of target antigens.
Influenza antigen (H1N1) is injected into air chamber for sampling virus test.
The Au-PCB conjugated with pair antibodies showed higher response than Au-PCB.


Sampling and pre-detection of infectious diseases are effective ways to prevent them from widely spreading. Among the conventionally used sampling methods, the cyclone-based air sampler is considered the most effective and simplest method. In this paper, we rebuilt a new cyclone-type air sampler device by modifying the size and shape of a commercially available product, Coriolis µ (Bertin Technology). This newly built air sampler’s collection efficiency was measured using polystyrene particles by comparing the amount before and after sampling. Additionally, for the feasibility of sampling of airborne virus, recombinant influenza virus antigen (H1N1) was injected into the custom-built air chamber where the air sampler’s inlet was connected so that the antigen was collected through sampling process. The solution was measured using a custom-made electrochemical platform which consists of antibody conjugated Au-electrode on PCB and small size reading system. Our findings showed that the influenza antigen was collected with good efficiency as well as detected with high sensitivity.


Airborne Virus Sampler Cyclone Influenza

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