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Chinese scientists develop mask that can detect COVID-19 in 10 minutes
CGTN
An illustration of design and application of the wireless bioelectronic mask (A) Schematic diagram of the bioelectronic mask device and the enlarged schematic illustration of a PIL-IGT, a breath valve, and a PCB. (B) Schematic diagram of (i) the fabrication process of PVA-IL ion gel as a dielectric layer of PIL-IGT by 3D printing, (ii) composition of PVA-IL ion gel, and (iii) flexible PIL-IGT. /Matter

An illustration of design and application of the wireless bioelectronic mask (A) Schematic diagram of the bioelectronic mask device and the enlarged schematic illustration of a PIL-IGT, a breath valve, and a PCB. (B) Schematic diagram of (i) the fabrication process of PVA-IL ion gel as a dielectric layer of PIL-IGT by 3D printing, (ii) composition of PVA-IL ion gel, and (iii) flexible PIL-IGT. /Matter

Chinese researchers have developed a face mask capable of detecting COVID-19 or the flu in the air and alerting wearers if they have been exposed to the viruses after a 10-minute conversation with an infected person.

Sensors attached to the mask can respond to as little as 0.3 microliters of viruses in the air, detecting the COVID-19, H5N1 and H1N1 influenza viruses in the air within 10 minutes and send notifications to a device.

The study, led by six scientists working with Tongji University in Shanghai, was published in the scientific journal Matter on Monday.

A screenshot of a section of the study published in the scientific journal Matter, September 19, 2022. /Matter

A screenshot of a section of the study published in the scientific journal Matter, September 19, 2022. /Matter

The new device, which is mounted outside the mask with a rechargeable lithium battery, was tested by spraying pathogens on it in an indoor setting, simulating a likely scenario where someone is talking or coughing.

Sensors responded to liquid about 70 to 560 times less than the amount produced in a sneeze, sending alerts to wireless devices like phones. 

The researchers said the mask performed best in enclosed spaces with poor ventilation, such as elevators or enclosed rooms, where the risk of infection is high. They tested it in an enclosed chamber by spraying liquid and aerosols containing trace levels of viruses. 

An illustration of Wireless bioelectronic mask in combination with IoT (A) A user who wears the bioelectronic mask monitors the test curves on the pad in real time (upper panel) and the corresponding test curves of the IoT unit's three channels (lower panel). (B) Architecture diagram of the wireless IoT unit. (C) Gate voltage changes of three channels of sixteen wireless masks IoT units at 0, 10, 20, and 30 min, respectively. The color bars from light to dark represent the gate voltage shifts in 0–200 mV. IoT units 8, 9, and 10 were subsequently exposed to SARS-CoV-2 spike proteins in atomizing gas after 10, 20, and 30 min. (D) Average gate voltage decreases of three channels of sixteen devices at each test. (E) Simultaneous responses of three channels of three devices to different targets (SARS-CoV-2 spike proteins, H1N1 proteins, and H5N1 proteins). The blue, orange, and cyan color bar shades correspond to the gate voltage offsets of the channels that functionalized with SARS-CoV-2 aptamers, H5N1 aptamers, and H1N1 aptamers, respectively. (F) Average gate voltage changes of different IoT unit to the atomizing gas containing the same target. (G) Source-drain current changes of three IoT units to the pure exhaled breath from three volunteers and the exhaled breath doped with different targets. The error bars in (D and F) represent the standard deviation calculated from at least three sets of tests. /Matter

An illustration of Wireless bioelectronic mask in combination with IoT (A) A user who wears the bioelectronic mask monitors the test curves on the pad in real time (upper panel) and the corresponding test curves of the IoT unit's three channels (lower panel). (B) Architecture diagram of the wireless IoT unit. (C) Gate voltage changes of three channels of sixteen wireless masks IoT units at 0, 10, 20, and 30 min, respectively. The color bars from light to dark represent the gate voltage shifts in 0–200 mV. IoT units 8, 9, and 10 were subsequently exposed to SARS-CoV-2 spike proteins in atomizing gas after 10, 20, and 30 min. (D) Average gate voltage decreases of three channels of sixteen devices at each test. (E) Simultaneous responses of three channels of three devices to different targets (SARS-CoV-2 spike proteins, H1N1 proteins, and H5N1 proteins). The blue, orange, and cyan color bar shades correspond to the gate voltage offsets of the channels that functionalized with SARS-CoV-2 aptamers, H5N1 aptamers, and H1N1 aptamers, respectively. (F) Average gate voltage changes of different IoT unit to the atomizing gas containing the same target. (G) Source-drain current changes of three IoT units to the pure exhaled breath from three volunteers and the exhaled breath doped with different targets. The error bars in (D and F) represent the standard deviation calculated from at least three sets of tests. /Matter

The long-term pandemic prompted the widespread wearing of masks. However, the easing of COVID-related mandates in many countries has led to a drop in mask use. 

An Axios-Ipsos survey in early September found that 37 percent of Americans wear a mask outside their homes, down from 89 percent two years ago.

However, mask use still remains widespread in countries including China, which sticks to a strict dynamic zero-COVID policy. Also, many people around the world continue to wear masks to protect themselves from the virus regardless of government rules. 

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