Academic Dynamics

2023 High level academic report of the College of Physical Optoelectronic Engineering 94:Sensing of disease biomarkers using graphene-based biosensors

Time of publication:2023-11-24   Number of views:2

 

Guest Speaker: Sami Ramadan, Senior Research Fellow, School of Materials Engineering, Imperial College London, UK

Inviter: Associate Professor Fu Chen

Time: 16:00 PM, November 13, 2023

Location: Conference Room 1206, Original building

About the Guest:Professor Sami Ramadan is a senior Research fellow in Materials Engineering at Imperial College London. He has long been engaged in the basic and applied research of MEMS, semiconductor devices and processes, 2D materials and heterostructural functional materials. He graduated from the Department of Electrical Engineering, Newcastle University, UK. He has presided over EPSRC, CRUK and other funded scientific research projects, and supervised a number of doctoral students and master students in ACS Nano, ACS Sensors, Biosensors and Bioelectronics, More than 20 academic papers have been published in international academic journals such as Nanotechnology.

Brief introduction to the report:Rapid, simple and low-cost detection of disease biomarkers in easily accessible bioliquids such as saliva, nasopharyngeal swabs, blood, and urine currently represents the most promising approach for early detection of common diseases like cancer, neurogenerative and cardiovascular, as well as virus infections. Regular screening of large numbers of individuals in point-of-care settings could enable more targeted early interventions and therapies. At the same time, the global threat of infectious diseases requires a flexible, rapid and low-cost sensor platform for the detection of viral infections. Electrical biosensors based on graphene are promising devices in this regard as they can enable high sensitivity, selectivity, fast, and label-free detection. This presentation highlights an overview of our recent progress of using graphene field-effect-transistors for the detection of different disease biomarkers such as cancer, neurodegenerative, and COVID-19 in complex mediums. The key challenges of sensing in physiological solutions, and their potential solutions will be addressed.

All teachers and students are welcome to attend!