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Development of an ELISA-array for simultaneous detection of five encephalitis viruses

Overview of attention for article published in Virology Journal, February 2012
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Title
Development of an ELISA-array for simultaneous detection of five encephalitis viruses
Published in
Virology Journal, February 2012
DOI 10.1186/1743-422x-9-56
Pubmed ID
Authors

Xiaoping Kang, Yuchang Li, Li Fan, Fang Lin, Jingjing Wei, Xiaolei Zhu, Yi Hu, Jing Li, Guohui Chang, Qingyu Zhu, Hong Liu, Yinhui Yang

Abstract

Japanese encephalitis virus(JEV), tick-borne encephalitis virus(TBEV), and eastern equine encephalitis virus (EEEV) can cause symptoms of encephalitis. Establishment of accurate and easy methods by which to detect these viruses is essential for the prevention and treatment of associated infectious diseases. Currently, there are still no multiple antigen detection methods available clinically. An ELISA-array, which detects multiple antigens, is easy to handle, and inexpensive, has enormous potential in pathogen detection. An ELISA-array method for the simultaneous detection of five encephalitis viruses was developed in this study. Seven monoclonal antibodies against five encephalitis-associated viruses were prepared and used for development of the ELISA-array. The ELISA-array assay is based on a "sandwich" ELISA format and consists of viral antibodies printed directly on 96-well microtiter plates, allowing for direct detection of 5 viruses. The developed ELISA-array proved to have similar specificity and higher sensitivity compared with the conventional ELISAs. This method was validated by different viral cultures and three chicken eggs inoculated with infected patient serum. The results demonstrated that the developed ELISA-array is sensitive and easy to use, which would have potential for clinical use.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Portugal 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Master 10 24%
Student > Bachelor 6 15%
Student > Ph. D. Student 6 15%
Other 2 5%
Other 3 7%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 32%
Medicine and Dentistry 6 15%
Biochemistry, Genetics and Molecular Biology 4 10%
Immunology and Microbiology 4 10%
Veterinary Science and Veterinary Medicine 4 10%
Other 6 15%
Unknown 4 10%