Add like
Add dislike
Add to saved papers

Development of a DAS-ELISA for detection of H9N2 avian influenza virus.

H9N2 avian influenza virus is threatening animals and public health systems. Effective diagnosis is imperative to control the disease. Thus, we developed a panel of monoclonal antibodies (Mabs) against the H9N2 avian influenza virus (AIV) and implemented a double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) to detect the H9 viral antigen. Hybridomas 4D10 and 5G2 were screened to secrete immunoglobulin G (IgG) and IgA, respectively. Antibody 4D10 was used as the capture antibodies and HRP labeled 5G2 as the detector antibody. The specificity of the optimized DAS-ELISA was evaluated by using AIV subtypes H1, H3, H5, H9 and H10. Specimens containing AIV H9 subtype yielded a specific and strong signal above the background, whereas specimens containing all other subtypes yielded background signals. The detection limit of the DAS-ELISA is 10-2.3 TCID50 (50% Tissue culture infective doses). Negative-positive threshold was 0.211 (OD630). In comparison with virus isolation the sensitivity and specificity of DAS-ELISA were found to be 98.9% and 98.1% respectively. Taken together, the newly developed Mab-based DAS-ELISA offers an attractive alternative to other diagnostic approaches for the specific detection of H9 subtype AIV.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app