Articles | Volume 12, issue 4
https://doi.org/10.5194/amt-12-2219-2019
https://doi.org/10.5194/amt-12-2219-2019
Research article
 | 
10 Apr 2019
Research article |  | 10 Apr 2019

Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry

Xiaoli Shen, Harald Saathoff, Wei Huang, Claudia Mohr, Ramakrishna Ramisetty, and Thomas Leisner

Viewed

Total article views: 3,256 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,098 1,080 78 3,256 369 83 91
  • HTML: 2,098
  • PDF: 1,080
  • XML: 78
  • Total: 3,256
  • Supplement: 369
  • BibTeX: 83
  • EndNote: 91
Views and downloads (calculated since 17 Oct 2018)
Cumulative views and downloads (calculated since 17 Oct 2018)

Viewed (geographical distribution)

Total article views: 3,256 (including HTML, PDF, and XML) Thereof 3,010 with geography defined and 246 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Based on single-particle mass spectra from field measurements in the upper Rhine valley, we identified characteristic particle classes and estimated their mass contributions without the need of a reference instrument in the field. Our study provides a good example for quantitative interpretation of single-particle data. Together with the complimentary results from bulk measurements, we have shown how a better understanding of the mixing state of ambient aerosol particles can be achieved.