Novel insights into aerosol behavior could improve air-quality forecasting
New research from Purdue University demonstrates how organic aerosol molecules can influence one another's behavior in ways that existing atmospheric models do not fully capture.
A groundbreaking study by researchers at Purdue University reveals how organic aerosol molecules can impact one another's behavior in ways not fully accounted for in current atmospheric models. Led by Professor Alexander Laskin, the team found that neighboring molecules in aerosol mixtures tend to cling to each other, greatly increasing the time it takes for them to evaporate and escape the atmosphere.
This "matrix effect" was discovered through a novel mass spectrometry technique developed in Laskin's lab, which tracked over 1,500 individual chemical species across 33 complex mixtures representative of real biomass-burning smoke and urban haze. The research, published in the Proceedings of the National Academy of Sciences, shows that when surrounded by other molecules, the evaporation rate of a chemical can slow down by three to five orders of magnitude, significantly decreasing its volatility.
This discovery could greatly improve air-quality forecasting by accurately predicting how long smoke and other aerosols remain in the atmosphere, affecting cloud formation, weather, and public health. The study also highlights the importance of considering molecular interactions in environmental models, paving the way for more accurate predictions and better-informed policies to mitigate the impact of aerosols on our environment.
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