Articles | Volume 20, issue 13
Atmos. Chem. Phys., 20, 7693–7716, 2020
https://doi.org/10.5194/acp-20-7693-2020
Atmos. Chem. Phys., 20, 7693–7716, 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 et al.

Viewed

Total article views: 2,108 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,415 671 22 2,108 234 20 39
  • HTML: 1,415
  • PDF: 671
  • XML: 22
  • Total: 2,108
  • Supplement: 234
  • BibTeX: 20
  • EndNote: 39
Views and downloads (calculated since 20 Nov 2019)
Cumulative views and downloads (calculated since 20 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,014 (including HTML, PDF, and XML) Thereof 1,973 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Nov 2021
Download
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.
Altmetrics
Final-revised paper
Preprint