Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-4805-2021
https://doi.org/10.5194/amt-14-4805-2021
Research article
 | 
08 Jul 2021
Research article |  | 08 Jul 2021

Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network

Amir Yazdani, Ann M. Dillner, and Satoshi Takahama

Viewed

Total article views: 2,741 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,929 730 82 2,741 250 86 89
  • HTML: 1,929
  • PDF: 730
  • XML: 82
  • Total: 2,741
  • Supplement: 250
  • BibTeX: 86
  • EndNote: 89
Views and downloads (calculated since 23 Mar 2020)
Cumulative views and downloads (calculated since 23 Mar 2020)

Viewed (geographical distribution)

Total article views: 2,741 (including HTML, PDF, and XML) Thereof 2,627 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
We propose a spectroscopic method for estimating several mixture-averaged molecular properties (carbon number and molecular weight) in particulate matter relevant for understanding its chemical origins. This estimation is enabled by calibration models built and tested using laboratory standards containing molecules with known structure, and can be applied to filter samples of PM2.5 currently collected in existing air pollution monitoring networks and field campaigns.