Soot, a pollutant from incomplete combustion of fossil fuels and biomass burning, has a highly complex morphology as aggregates of primary spheres that are 10–50 nm in diameter and made of elemental carbon (EC). Soot particles absorb the solar radiation efficiently and can significantly increase the total radiative forcing by retaining the incoming solar energy. There are currently two major research communities to determine the morphological characteristics of soot. One based their measurements on aerosol aerodynamics and the other uses primarily electron microscopes. The connection between the results from the two communities are not direct and the data transformation is often not trivial. Therefore, new python-based software is developed to address such need in soot research. Our software offers customizable input options to allow various source data input, including measurement conditions and mobility diameters from instruments based on aerosol aerodynamics. Using the user input, the software generates a three-dimensional image of a sample soot particle based on the fractal theory and a Monte Carlo process. Our software can also analyze the two-dimensional projection of the generated soot particle, therefore linking the aerodynamic results with the microscopic images. The product offers soot researchers a convenient way to interpret and communicate their research results using different scientific approaches.

Developing software to connect aerodynamic and microscopic measurements on soot particles

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.