UC professor works to create a smartphone COVID-19 test
Aashish Priye pivoted his work to focus on the pandemic
Aashish Priye, a University of Cincinnati assistant professor of chemical engineering, has spent much of his research career developing a smartphone diagnostic device for the rapid detection of viruses.
When the novel coronavirus emerged, Priye turned his focus toward COVID-19. Priye and the UC students in his lab are exploring a smartphone-based DNA analyzer that could allow a user to test themselves at home.
Priye is focused on perfecting a process known as LAMP — loop-mediated isothermal amplification — as a potential alternative to the current process of pathogen detection called polymerase chain reaction (PCR), which has been used for more than 30 years and is mostly done in a lab.
“Today’s gold standard PCR system is a bulky machine that uses a lot of power — we know this can be improved,” Priye said. “Our work is curiosity driven — we aim to create the next generation of microfluidic devices using rapid micro-fabrication techniques.”
Priye is heading up one of 13 research teams, each awarded a phase-one $10,000 planning grant last year in the Digital Futures Anchor Development Program from the UC Office of Research. The anchor teams will carry on their research inside the new Digital Futures space, when it opens in 2022.
Featured image at top: Baldwin Quad on UC's campus. Photo/Corrie Mayer/CEAS Marketing.
Related Stories
Breakthrough UC study sheds light on survival of new neurons in adult brain
February 9, 2026
Research from the University of Cincinnati College of Medicine, recently published in the journal Nature Communications, is revealing how immune cells in the adult brain regulate the generation of new neurons.
Co-op offers chance to experience a career in manufacturing
February 9, 2026
William Walker, a second-year chemical engineering major at the University of Cincinnati, discusses his first cooperative education experience at American Rheinmetall. Walker is a graduate of Walnut Hills High School in Cincinnati and a Marian Spencer Scholar.
Revolutionary AI technology enhances diagnosis of substance use disorder
February 6, 2026
MSN, Bioengineer and other outlets highlight a new study by researchers at the University of Cincinnati who developed a novel AI to predict substance use disorder.