|Yates, Betsy -|
|Papafragkou, Efstathia -|
|Conrad, Stephen -|
|Burkhardt, William -|
|Kulka, Michael -|
|Degrasse, Stacey -|
Submitted to: International Journal of Food Microbiology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: January 16, 2013
Publication Date: January 25, 2013
Repository URL: http://handle.nal.usda.gov/10113/61557
Citation: Yates, B.J., Papafragkou, E., Conrad, S.M., Neill, J.D., Ridpath, J.F., Burkhardt, W., Kulka, M., Degrasse, S.L. 2013. Surface plasmon resonance biosensor for detection of feline calicivirus, a surrogate for norovirus. International Journal of Food Microbiology. 162:152-158. Interpretive Summary: Viruses that cause food poisoning may be difficult to detect because vomit and stool samples do not work well with many detection systems. The goal of this research was to test a new method of detecting viruses, called surface plasmon resonance (SPR). It was shown that SPR biosensors were sensitive enough to detect viruses in clinical and environmental samples. The advantage of using SPR based tests would be quicker turn around, less samples preparation involved in testing and detection in a greater range of test materials.
Technical Abstract: The human noroviruses are the most common non-bacterial cause of gastroenteritis and are responsible for as much as 50% of all gastroenteritis outbreaks worldwide. Norovirus (NoV), a single stranded RNA virus, is highly contagious with an infectious dose of less than 100 viral particles. While techniques exist for the identification and quantitation of NoV, the lack of a reliable cell culture system, NoV genetic variability, and time-consuming sample preparation steps required to isolate the virus (or its genome) prior to molecular based methods have hindered virus detection. In order to protect the public from virus-contaminated food and enable better detection in clinical and environmental samples, sensitive and selective methods with simple sample preparation are needed. Surface plasmon resonance (SPR) biosensors represent an emerging detection platform, and this approach has been applied to the rapid detection of foodborne pathogens such as small molecule toxins, protein toxins, and bacteria. This analytical technique, however, has yet to be fully investigated for rapid virus detection.