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A homogenous fluorescence quenching based assay for specific and sensitive detection of influenza virus a hemagglutinin antigen

tetano

Editor, Senior Moderator
Sensors (Basel). 2015 Apr 15;15(4):8852-65. doi: 10.3390/s150408852.
[h=1]A homogenous fluorescence quenching based assay for specific and sensitive detection of influenza virus a hemagglutinin antigen.[/h] Chen L[SUP]1[/SUP], Neethirajan S[SUP]2[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] Influenza pandemics cause millions of deaths worldwide. Effective surveillance is required to prevent their spread and facilitate the development of appropriate vaccines. In this study, we report the fabrication of a homogenous fluorescence-quenching-based assay for specific and sensitive detection of influenza virus surface antigen hemagglutinins (HAs). The core of the assay is composed of two nanoprobes namely the glycan-conjugated highly luminescent quantum dots (Gly-QDs), and the HA-specific antibody-modified gold nanoparticle (Ab-Au NPs). When exposed to strain-specific HA, a binding event between the HA and the two nanoprobes takes place, resulting in the formation of a sandwich complex which subsequently brings the two nanoprobes closer together. This causes a decrease in QDs fluorescence intensity due to a non-radiative energy transfer from QDs to Au NPs. A resulting correlation between the targets HA concentrations and fluorescence changes can be observed. Furthermore, by utilizing the specific interaction between HA and glycan with sialic acid residues, the assay is able to distinguish HAs originated from viral subtypes H1 (human) and H5 (avian). The detection limits in solution are found to be low nanomolar and picomolar level for sensing H1-HA and H5-HA, respectively. Slight increase in assay sensitivity was found in terms of detection limit while exposing the assay in the HA spiked in human sera solution. We believe that the developed assay could serve as a feasible and sensitive diagnostic tool for influenza virus detection and discrimination, with further improvement on the architectures.


PMID: 25884789 [PubMed - in process]
 
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