These batteryless sensors are being developed and tested at the University of Michigan through a new National Science Foundation RAPID COVID-19 grant. They are designed to provide more accurate and less cumbersome monitoring during the decontamination of protective masks for medical workers.
Kevin Fu, an associate professor of computer science and engineering at U-M and lead on the project, said this project has broader application to related domains for COVID-19 such as decontamination of automotive fleets, public transportation and passenger aircraft by reducing the cumbersome and unsightly wiring to inconspicuous canary sensors that verify the environmental conditions needed for decontamination.
The project is a joint effort between Fu, Ph.D. student Yan Long, and co-principal investigator Sara Rampazzi, who recently accepted a position at the University of Florida.
