Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-7693-2020
https://doi.org/10.5194/acp-20-7693-2020
Research article
 | 
02 Jul 2020
Research article |  | 02 Jul 2020

Deconvolution of FIGAERO–CIMS thermal desorption profiles using positive matrix factorisation to identify chemical and physical processes during particle evaporation

Angela Buchholz, Arttu Ylisirniö, Wei Huang, Claudia Mohr, Manjula Canagaratna, Douglas R. Worsnop, Siegfried Schobesberger, and Annele Virtanen

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Latest update: 01 Mar 2024
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Short summary
To understand the role of aerosol particles in the atmosphere, it is necessary to know their detailed chemical composition and physical properties, especially volatility. The thermal desorption data from FIGAERO–CIMS provides both but are difficult to analyse. With positive matrix factorisation, we can separate instrument background from the real signal. Compounds can be classified by their apparent volatility, and the contribution of thermal decomposition in the instrument can be identified.
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