Scientists have created a sensor using “frozen smoke” that employs artificial intelligence to detect formaldehyde in real-time at concentrations as low as eight parts per billion, surpassing the sensitivity of most indoor air quality sensors.
The proof-of-concept sensors, which require minimal power, could be adjusted to identify a wide range of dangerous gases and could also be made smaller for wearable and healthcare applications. The findings are detailed in the journal Science Advances.
Volatile organic compounds (VOCs) are a significant cause of indoor air pollution, leading to watery eyes, eye and throat irritation, and breathing difficulties at higher levels. High concentrations can trigger asthma attacks, and prolonged exposure may lead to certain cancers.
Formaldehyde is a common VOC emitted by household items such as pressed wood products (like MDF), wallpapers, paints, and some synthetic fabrics. While formaldehyde levels emitted by these items are generally low, they can accumulate over time, particularly in garages where paints and other formaldehyde-emitting products are often stored.
According to a 2019 report from the campaign group Clean Air Day, one-fifth of UK households had significant formaldehyde concentrations, with 13% of homes exceeding the recommended limit set by the World Health Organization (WHO).
2024-02-09 18:00:05
Article from phys.org