Literature DB >> 25088715

Detection of aerosolized biological agents using the piezoelectric immunosensor.

David Kovář1, Zdeněk Farka, Petr Skládal.   

Abstract

Airborne microorganisms are a major cause of respiratory diseases. Detection of pathogenic bacteria in the form of bioaerosols is required not only in peacetime but also in the threat of biological attacks. The label-free and direct detection of aerosolized biological agents is presented here. A desktop bioaerosol chamber for safe work with aerosolized microbial cells was constructed, and its functionality was tested. The model organisms (Escherichia coli) were disseminated using an aerosol generator in the chamber filled with either common laboratory indoor air or sterile air. The particles from the generated aerosol were collected using the cyclone SASS 2300, suspended in buffer and then analyzed using the piezoelectric immunosensor modified with specific capture antibodies. The frequency shifts indicated presence of the model biological agent with limit of detection of 1.45 × 10(4) CFU·L(-1) of air. The total time from sample collection to detection was 16 min. The system was fully automated and controlled remotely through a local network.

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Year:  2014        PMID: 25088715     DOI: 10.1021/ac501623m

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  Application of ATP-based bioluminescence for bioaerosol quantification: effect of sampling method.

Authors:  Taewon Han; Melody Wren; Kelsey DuBois; Jennifer Therkorn; Gediminas Mainelis
Journal:  J Aerosol Sci       Date:  2015-12-01       Impact factor: 3.433

2.  Integration of sample preparation with RNA-Amplification in a hand-held device for airborne virus detection.

Authors:  Xiao Jiang; Julia C Loeb; Maohua Pan; Trevor B Tilly; Arantza Eiguren-Fernandez; John A Lednicky; Chang-Yu Wu; Z Hugh Fan
Journal:  Anal Chim Acta       Date:  2021-04-23       Impact factor: 6.911

3.  Rapid detection of microorganisms based on active and passive modes of QCM.

Authors:  Zdeněk Farka; David Kovář; Petr Skládal
Journal:  Sensors (Basel)       Date:  2014-12-23       Impact factor: 3.576

  3 in total

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