- 건국대학교

	Prof. Chang Seon Song and his team developed new technology for AI Virus detection
	관리자		595		2019.01.28

<img style="margin-left: auto; display: block; margin-right: auto;" alt="" src="ArticleFile.do?id=11753187" width="546" height="402" /> A research team of Professor Chang Seon Song of the College of Veterinary Medicine at Konkuk University, has developed a mobile high-sensitivity detection device that can detect the avian influenza virus (AI) directly from the field. Professor Chang Seon Song of College of Veterinary Medicine and Dr. Kwan-Hee Lee of the Biomaterials Research Group of Korea Institute of Science and Technology (KIST) have teamed up together to produce a semiconductor biosensor based on electric signals capable of mobile measurement and developed a diagnose platform for detect AI virus. "Rapid kit" based on gold nanoparticle, which is used as a field diagnostic kit, has an advantage that it is easy to use by checking the signal with the naked eye, but has a disadvantage that it is low in sensitivity and difficult to distinguish virus from a test object. In addition, there was a limit to early detection of AI viruses in outdoor areas such as farmhouses and shelters. Professor Chang Seon Song's team succeeded in manufacturing thin film semiconductor biosensors that can distinguish detection signals clearly and can recognize them and mobile packaging so that they can be measured in the field. This portable biosensor was tested at the Bio Safety Level (BSL) -3 facility at Konkuk University with a sound pressure facility capable of high-risk virus testing. As a result, it was found that the highly pathogenic and low-pathogenic AI viruses were detected at a sensitivity more than 1,000 times higher than the existing detection kit, it has been confirmed that it does not respond to similar viruses that cause AI misdiagnosis like viruses.
 <img style="margin-left: auto; display: block; margin-right: auto;" alt="" src="ArticleFile.do?id=11752614" /> 
Professor Chang Seon Song said, "Through this research, we have developed a platform that can detect highly pathogenic AI viruses in a stable and highly sensitive manner without being affected by field samples." By using mobile electric signal biosensor technology, "If we commercialize low-cost portable sensors equipped with speed, accuracy, economic feasibility, we expect to contribute to the rapid on-site diagnosis and prevention of AI."

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