Literature DB >> 23800609

High sensitivity point-of-care device for direct virus diagnostics.

Katrine Kiilerich-Pedersen1, Johannes Daprà, Solène Cherré, Noemi Rozlosnik.   

Abstract

Influenza infections are associated with high morbidity and mortality, carry the risk of pandemics, and pose a considerable economic burden worldwide. To improve the management of the illness, it is essential with accurate and fast point-of-care diagnostic tools for use in the field or at the patient's bedside. Conventional diagnostic methods are time consuming, expensive and require specialized laboratory facilities. We present a highly sensitive, highly specific, and low cost platform to test for acute virus infections in less than 15 min, employing influenza A virus (H1N1) as an example of its usability. An all polymer microfluidic system with a functionalized conductive polymer (PEDOT-OH:TsO) microelectrode array was developed and exploited for label free and real time electrochemical detection of intact influenza A virus (H1N1) particles. DNA aptamers with affinity for influenza A virus (H1N1) were linked covalently to the conductive polymer microelectrodes in the microfluidic channel. Based on changes in the impedance when virions were captured by immobilized probes, we could detect clinically relevant concentrations of influenza A virus (H1N1) in saliva. This is a new, stable and very sensitive point-of-care platform for detection and diagnostics of intact virus particles.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  AFM; Conductive polymer; DNA aptamer; Electrochemical impedance spectroscopy (EIS); Influenza A virus (H1N1); PEDOT-OH:TsO; Point-of-care (POC)

Mesh:

Substances:

Year:  2013        PMID: 23800609     DOI: 10.1016/j.bios.2013.05.046

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  16 in total

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5.  Label-free Detection of Influenza Viruses using a Reduced Graphene Oxide-based Electrochemical Immunosensor Integrated with a Microfluidic Platform.

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Review 7.  Detecting and Predicting Emerging Disease in Poultry With the Implementation of New Technologies and Big Data: A Focus on Avian Influenza Virus.

Authors:  Jake Astill; Rozita A Dara; Evan D G Fraser; Shayan Sharif
Journal:  Front Vet Sci       Date:  2018-10-30

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Authors:  Vladimir I Kukushkin; Nikita M Ivanov; Anastasia A Novoseltseva; Alexandra S Gambaryan; Igor V Yaminsky; Alexey M Kopylov; Elena G Zavyalova
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Journal:  Biosens Bioelectron       Date:  2015-12-30       Impact factor: 10.618

Review 10.  Monitoring Intact Viruses Using Aptamers.

Authors:  Penmetcha K R Kumar
Journal:  Biosensors (Basel)       Date:  2016-08-04
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