Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 7
Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-4805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-4805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 7
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: 3,471 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,402 968 101 3,471 323 127 150
  • HTML: 2,402
  • PDF: 968
  • XML: 101
  • Total: 3,471
  • Supplement: 323
  • BibTeX: 127
  • EndNote: 150
Views and downloads (calculated since 23 Mar 2020)
Cumulative views and downloads (calculated since 23 Mar 2020)

Viewed (geographical distribution)

Total article views: 3,471 (including HTML, PDF, and XML) Thereof 3,341 with geography defined and 130 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
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.
Read more
Share