COVINAR (FET-based Biosensor for COVID Detection)

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The race towards development of user-friendly, portable, rapid-detection and low cost devices for healthcare system has become the main demand for effective screening actions globally since the pandemic attack in December 2019 which known as Coronavirus disease (COVID-19). This newly infectious disease which associate with severe respiratory distress is caused by the virus known as SARS-CoV-2. Current available detection techniques such as lateral flow assay (LFA), loop mediated isothermal amplification (LAMP), enzyme-linked immunosorbent assay (ELISA) and reverse transcription polymerase chain reaction (RTPCR) are tedious and time-consuming which includes preparation of viral RNA. Thus, with advent of nanotechnology and miniaturization, graphene-based field-effect transistor (GFET) fabricated by our team provides ultrasensitive and selective platform to detect pathogens. Utilizing chemically modified single layer graphene as transducing channel material in FET exhibits ambipolar curve during electrical characteristics measurements. Attachment and binding of probe with pathogen induces significance changes in the IV curve. Hence, this can be used as an indicator to detect pathogens in an analyte. This GFET platform demonstrated ultrahigh sensitivity, highly specific, offers rapid detection and viable to work in both buffer and human serum. Therefore, this optimized platform can be implemented in detection of SARS-CoV-2.

Created by: Prof. Dr. Azrul Azlan Hamzah, Dr. Reena Sri Selvarajan, Anis Amirah Alim, Noraziah Mohamad Zin, Alfizah Hanafiah, Norhayati Soin, Low Teck Yew, Dee Chang Fu,  P. Susthitha Menon, Jahariah Sampe

Contact: Prof. Dr. Azrul Azlan Hamzah