A patented method for single biomolecule detection that overcomes the limitations of current technologies may help in the fight against COVID-19.
Purdue University innovators created a method that uses a special sensor similar to a computer chip. The application-specific integrated circuit chip is designed for the early detection of a number of pathogens and viruses.
The Purdue technique involves machine learning to train the system to detect certain features associated with particular diseases and viruses. Then, when a sample is run through the system, it can detect those features and confirm the presence of particular viruses and diseases. Simulations have shown this technique may be effective in detecting COVID-19.
“We want to find partners to move this technology to the public as soon as we can to help in COVID-19 testing,” said Saeed Mohammadi, a Purdue professor of electrical and computer engineering. “We know it can be an effective, easy, and inexpensive method for detecting viruses, potentially the one linked to the current pandemic.”