Scientists have created a face mask capable of detecting the most common respiratory viruses, such as the flu and coronavirus, in the form of droplets or aerosols. The finding has been published in the journal “Mater”.
The mask, which is highly sensitive, can alert users through mobile devices.
“Previous research has shown that the use of masks can reduce the risk of contagion and contracting the disease. That’s why we wanted to create a mask that would detect the presence of viruses in the air and alert the wearer,” explains Yin Fang, author of the study and researcher at Shanghai Tongji University.
The viruses that cause Covid-19 and H1N1 flu are spread through droplets and aerosols released by infected people when they talk, cough, and sneeze. These virus-containing molecules, especially tiny aerosols, can remain suspended in the air for a long time.
The team hopes to reduce detection time and increase sensor sensitivity.
The team tested the mask in a closed chamber by spraying viral surface protein containing liquid and minimal level aerosols onto the mask. The sensor responded to as little as 0.3 microliters of fluid containing viral proteins, between 70 and 560 times less than the volume of fluid produced by a sneeze and much less than that produced by coughing or speaking, says Fang.
“Our mask would work very well in spaces with poor ventilation, such as elevators or closed rooms, where the risk of getting infected is high,” says Fang. In the future, if a new respiratory virus emerges, they will be able to easily update the sensor design to detect the new pathogens, he adds.
The team hopes to reduce detection time and increase sensor sensitivity by optimizing the design of the polymers and transistors. They are also working on wearable devices for a number of diseases, including cancer and cardiovascular disease.
“Currently, doctors rely heavily on their experience to diagnose and treat illnesses. But with the data collected by wearable devices, disease diagnosis and treatment can be more precise,” says Fang.