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A simple strategy for rapid and sensitive detection of avian influenza A H7N9 virus based on intensity-modulated SPR biosensor and new generated antib

tetano

Editor, Senior Moderator
Anal Chem. 2018 Jan 12. doi: 10.1021/acs.analchem.7b03934. [Epub ahead of print]
[h=1]A simple strategy for rapid and sensitive detection of avian influenza A H7N9 virus based on intensity-modulated SPR biosensor and new generated antibody.[/h] Chang YF, Wang WH, Hong YW, Yuan RY, Chen KH, Huang YW, Lu PL, Chen YH, Chen YA, Su LC, Wang SF.
[h=3]Abstract[/h] A new reassortant avian influenza A H7N9 virus have emerged in China since 2013, causing human infection with high mortality. An accurate and timely diagnosis is crucial for controlling the outbreaks of the disease. We therefore propose a simple strategy for rapidly and sensitively detecting the H7N9 virus using an intensity-modulated surface plasmon resonance (IM-SPR) biosensor integrated with a new generated monoclonal antibody. The novel antibody exhibits significant specificity to recognize H7N9 virus compared with other clinical human influenza isolates (p<0.01). Experimentally, the detection limit of the proposed approach for H7N9 virus detection is estimated to be 144 copies/mL, which is a 20-fold increase in sensitivity compared with homemade target-captured ELISA using the identical antibody. For the measurement of mimic clinical specimens containing the H7N9 virus mixed with nasal mucosa from flu-like syndrome patients, the detection limit is calculated to be 402 copies/mL, which is better than conventional influenza detection assays, quantitative reverse transcription polymerase chain reaction (qRT-PCR) and rapid influenza diagnostic test (RIDT). Most importantly, the assay time took less than 10 minutes. Combined, the results of this study indicate that the proposed simple strategy demonstrates high sensitivity and being time-saving for the H7N9 virus detection. By incorporating a high specific recognizer, the proposed technique has the potential to be used in applications and development of other emerging or re-emerging microbe detection platforms.


PMID: 29327590 DOI: 10.1021/acs.analchem.7b03934
 
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