Infectious diseases and respiratory infections in particular are a leading cause of global mortality. As such, there is an urgent need for rapid, large-scale diagnostic tools that can detect these diseases early, something which doesn鈥檛 currently exist. To address these problems, 污污草莓视频 University Professor of Bioengineering Sara Mahshid鈥檚 lab has developed an that can deliver test results in just 13 minutes.
For use in locations where people congregate, such as hospitals, schools, and airports, the tests are conducted by taking a saliva sample (no swabs needed) and transferring it to a microfluid device which then uses machine learning to automatically take microscopic images of the sample. Those images are sent to a cellphone application that decodes the data into a test result.
鈥淏ecause we will likely see more pandemics in the future, our lab aims to build portable, low-cost technologies with practical clinical results for use in low-resource settings, at-home, or communal environments,鈥� says Mahshid and her students, PhD candidates Tamer Abdel Fatah and Mahsa Jalali, coauthors of the paper recently published in Nature Nanotechnology.
鈥淭his platform shown to have a 95% accuracy rate, on par with quantitative PCR when it comes to COVID testing using saliva samples is potentially a valuable tool for monitoring emerging viral infections, and variants, and even bacteria. Thanks to its accessibility, the number of tests being performed can be increased, potentially leading to an early diagnosis that could save lives and curb the spread of respiratory diseases globally,鈥� adds Mahshid, who is also Canada Research Chair in Nano-Biosensing Devices.
QolorEX is developed in Prof. Sara Mahshid鈥檚 Lab with support from MI4-ECRF, NSERC-Alliance-COVID-19 and CIHR-COVID-19 in collaboration with Dr. Chen Liang at the Jewish General Hospital, Prof. Silvia Vidal at 污污草莓视频 University and Dr. Dao Nguyen at the RI-MUHC. was published in Nature Nanotechnology.
This article was originally published in the 污污草莓视频 Newsroom.