Exposure to particulate matter (PM) has been associated with adverse health effects. A large fraction of these particles consists of volatile or semi-volatile materials, such as emissions generated from cooking, automobiles and tobacco products. The dynamics of the evaporation process of such volatile particles has been an active area of research since the 19th century. However, existing measurement methods are either low throughput or unable to provide direct volatility measurement of particulate matter.
Click here for original story, Rapid measurement of aerosol volatility using a deep learning-based portable microscope
Source: Phys.org