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Tracking Water Sorption in Glassy Aerosol Particles using Morphology-Dependent Resonances
Ali Moridnejad1, Thomas C Preston1, Ulrich K Krieger2
1Department of Atmospheric and Oceanic Sciences and Department of Chemistry, McGill University , 805 Sherbrooke Street West, Montreal, QC, Canada H3A 0B9.
Morphology-dependent resonances (MDRs) can simplify analyzing water sorption in aerosol particles. A core-shell model accurately approximates complex water concentration profiles, speeding up light-scattering analysis.
Area of Science:
- Atmospheric chemistry and physics
- Optical properties of aerosols
- Spectroscopy
Background:
- Morphology-dependent resonances (MDRs) are sensitive to microsphere size and composition.
- Analyzing MDRs in complex aerosol particles is challenging.
- Water sorption in ultraviscous and glassy aerosols creates a propagating concentration front.
Purpose of the Study:
- To investigate the applicability of a core-shell model for analyzing MDRs in water-sorbing aerosol particles.
- To simplify the analysis of MDRs during water uptake in high-viscosity aerosols.
- To assess the limitations of the core-shell model for tracking water sorption.
Main Methods:
- Simulating MDR positions for aerosol particles with sharp water concentration fronts.
- Comparing simulated MDRs to those predicted by a spherical core-shell model.
- Analyzing experimental MDR data from single aerosol particles during water sorption.
Main Results:
- MDR positions for sharp water concentration fronts closely resemble those of a core-shell profile.
- The core-shell model effectively simplifies the analysis of MDRs during water sorption.
- The radial position of the diffusion front can be readily determined using MDRs.
Conclusions:
- The core-shell model provides a faster and less error-prone method for analyzing MDRs in water-sorbing aerosols.
- This approach simplifies the characterization of water sorption dynamics in high-viscosity particles.
- Methods for calculating MDRs in core-shell particles are discussed, enhancing analytical capabilities.
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