Journal
ANALYTICAL METHODS
Volume 14, Issue 21, Pages 2072-2082Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d2ay00610c
Keywords
-
Funding
- Natural Science Fund Project of Colleges in Jiangsu Province [18KJB230001, 21KJB230003]
- Teaching Innovation Team of Animal Husbandry and Veterinary in Jiangsu Province
Ask authors/readers for more resources
An accurate and practical graphene oxide-based method, called GO-ASEA, was developed for rapid and highly sensitive detection of African swine fever virus (ASFV). This novel assay showed excellent specificity and selectivity, with a low detection limit, and demonstrated good clinical applicability. The GO-ASEA method has the potential to serve as a robust tool in epidemic prevention and point-of-care diagnosis.
African swine fever is an acute, severe and highly contagious infectious disease caused by African swine fever virus (ASFV), posing a huge threat to the global swine industry. Rapid and accurate diagnostic methods are of great significance for the effective prevention and control of ASFV transmission. In this work, we established and evaluated a graphene oxide-based accelerated strand exchange amplification (GO-ASEA) method for rapid, highly sensitive, and quantitative detection of ASFV. The use of GO provided a novel solution reference for improving the specificity of strand exchange amplification and solving the potential false positive problem caused by primer dimers. The detection limit of the GO-ASEA assay was 5.8 x 10(-1) copies per mu L of ASFV (equal to 2.9 copies per reaction) or 5.8 x 10(0) copies per mu L of ASFV in spiked swine nasal swabs. The selectivity of the GO-ASEA assay was supported by the ASFV DNA reference material and another seven porcine-derived viruses with similar clinical symptoms. The GO-ASEA assay took only about 29 minutes and was validated with 6 inactivated specimens and 52 swine nasal swabs, showing excellent clinical applicability. The novel assay is an accurate and practical method for rapid, highly sensitive detection of ASFV, and can potentially serve as a robust tool in epidemic prevention and point-of-care diagnosis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available