Data from Identifying time-dependent changes in the morphology of an individual aerosol particle from their light scattering patterns (08-2019)

The physical, chemical, and biological properties of an aerosol droplet/particle are dependent on the morphology of the droplet/particle itself; for example, a liquid droplet will be processed by oxidants in the gas phase in a fundamentally different way than a solid particle. Additionally, given their small size, aerosol droplets may change phase over timescales in the order of milliseconds (e.g. deliquescence or crystallisation). Thus, ability to rapidly and easily estimate the morphology of a droplet/particle is critical, especially in the interpretation of complex aerosol processes such as spray drying and dissolution. To be reported here is a novel method that uses the forward scattered light (~32o < θ 90%); its utility is strengthened by the high frequency of the collection of scattered light, which allows an individual droplet to be probed upwards of over 100 times per second. Although not absolute on every phase function analysis, when coupled with repetition and high throughput, the algorithm presented here can be a valuable tool to easily and readily determine particle morphology in dynamic aerosol systems.

Creator(s) Jonathan Reid, Allen Haddrell, Michael Cotterell, Aleksandra Marsh, Frances Marshall, Andrew Rickards, Grazia Rovelli, Young Chul Song, Rose Willoughby, Bryan Bzdek, Rachael Miles
Publication date 05 Sep 2019
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.1a6a4k03d08il25t9lwji598qu
Complete download (zip) https://data.bris.ac.uk/datasets/1a6a4k03d08il25t9lwji598qu/1a6a4k03d08il25t9lwji598qu.zip
Citation Jonathan Reid, Allen Haddrell, Michael Cotterell, Aleksandra Marsh, Frances Marshall, Andrew Rickards, Grazia Rovelli, Young Chul Song, Rose Willoughby, Bryan Bzdek, Rachael Miles (2019): Data from Identifying time-dependent changes in the morphology of an individual aerosol particle from their light scattering patterns (08-2019). https://doi.org/10.5523/bris.1a6a4k03d08il25t9lwji598qu
Total size 1.1 MiB

Data Resources