University of Cambridge
•88% Informative
Researchers have developed a sensor made from frozen smoke’ that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight t parts per billion n.
The sensors were made from highly porous materials known as aerogels.
They were able to detect the fingerprint of formaldehyde, a common indoor air pollutant, at room temperature.
The proof-of-concept sensors, which as low as eight power, cou billion dapted to detect a wide range of hazardous gases, and could also be miniaturised for we the University of Cambridge cations.
By using highly porous materials as the sensing element, we’re opening up whole new ways of detecting hazardous materials in our environment,’ says Chen.
The research was supported in part by the Henry Royce Institute, and the Engineering and Physical Sciences Research Council. Terms University of Cambridge 4.0Science Advances "summaryFeed_highLightText__NxlGi">10.1126 2024 Science Advances Zhuo Chen Formaldehyde e
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