says Ishan Barman, an affiliate professor of mechanical engineering, who together with David Gracias, a professor of chemical and biomolecular engineering, are senior authors of the research.
The sensor had demonstrated 92% accuracy at detecting SARS-COV-2 in saliva samples – similar to that of PCR assessments.
“Our platform goes past the present COVID-19 pandemic. We will use this for broad testing towards totally different viruses, as an illustration, to distinguish between SARS-CoV-2 and H1N1, and even variants. This can be a main subject that may’t be readily addressed by present speedy assessments,” says, Barman.
Supply: Medindia
