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Missed Evaporation from Atmospherically Relevant Inorganic Mixtures Confounds Experimental Aerosol Studies

[Image: see text] Sea salt aerosol particles are highly abundant in the atmosphere and play important roles in the global radiative balance. After influence from continental air, they are typically composed of Na(+), Cl(–), NH(4)(+), and SO(4)(2–) and organics. Analogous particle systems are often s...

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Detalles Bibliográficos
Autores principales: Rissler, Jenny, Preger, Calle, Eriksson, Axel C., Lin, Jack J., Prisle, Nønne L., Svenningsson, Birgitta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948290/
https://www.ncbi.nlm.nih.gov/pubmed/36758144
http://dx.doi.org/10.1021/acs.est.2c06545
Descripción
Sumario:[Image: see text] Sea salt aerosol particles are highly abundant in the atmosphere and play important roles in the global radiative balance. After influence from continental air, they are typically composed of Na(+), Cl(–), NH(4)(+), and SO(4)(2–) and organics. Analogous particle systems are often studied in laboratory settings by atomizing and drying particles from a solution. Here, we present evidence that such laboratory studies may be consistently biased in that they neglect losses of solutes to the gas phase. We present experimental evidence from a hygroscopic tandem differential mobility analyzer and an aerosol mass spectrometer, further supported by thermodynamic modeling. We show that, at normally prevailing laboratory aerosol mass concentrations, for mixtures of NaCl and (NH(4))(2)SO(4), a significant portion of the Cl(–) and NH(4)(+) ions are lost to the gas phase, in some cases, leaving mainly Na(2)SO(4) in the dry particles. Not considering losses of solutes to the gas phase during experimental studies will likely result in misinterpretation of the data. One example of such data is that from particle water uptake experiments. This may bias the explanatory models constructed from the data and introduce errors inte predictions made by air quality or climate models.