Articles | Volume 9, issue 1
https://doi.org/10.5194/amt-9-23-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-23-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jan 2016
Research article |
| 15 Jan 2016
Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry
K. R. Daellenbach
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
C. Bozzetti
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
A. Křepelová
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
F. Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
R. Wolf
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
P. Zotter
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
now at: Lucerne School of Engineering and Architecture, Bioenergy Research, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland
P. Fermo
Department of Chemistry, University of Milan, 20133 Milan, Italy
M. Crippa
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
now at: EC Joint Research Centre, Institute for Environment and Sustainability, 21027 Ispra, Italy
J. G. Slowik
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Y. Sosedova
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Department of Chemistry and Biochemistry & Oeschger Centre for Climate Change Research, University of Bern, 3012 Bern, Switzerland
Laboratory of Radiochemistry and Environmental Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
now at: Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044,
China
R.-J. Huang
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
L. Poulain
Leibniz Institute for Troposphärenforschung, Leipzig, Germany
S. Szidat
Department of Chemistry and Biochemistry & Oeschger Centre for Climate Change Research, University of Bern, 3012 Bern, Switzerland
U. Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
A. S. H. Prévôt
CORRESPONDING AUTHOR
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
Viewed
Total article views: 6,269 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Aug 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,502 | 2,570 | 197 | 6,269 | 189 | 265 |
- HTML: 3,502
- PDF: 2,570
- XML: 197
- Total: 6,269
- BibTeX: 189
- EndNote: 265
Total article views: 5,283 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Jan 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,110 | 1,989 | 184 | 5,283 | 178 | 242 |
- HTML: 3,110
- PDF: 1,989
- XML: 184
- Total: 5,283
- BibTeX: 178
- EndNote: 242
Total article views: 986 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Aug 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 392 | 581 | 13 | 986 | 11 | 23 |
- HTML: 392
- PDF: 581
- XML: 13
- Total: 986
- BibTeX: 11
- EndNote: 23
Latest update: 06 Dec 2025
Short summary
In this study, we developed an offline technique using the AMS for the characterization of the chemical fingerprints of aerosols collected on quartz filters, and evaluated the suitability of the organic mass spectral data for source apportionment. This technique may be used to enhance the AMS capabilities in measuring size-fractionated, spatially resolved long-term data sets.
In this study, we developed an offline technique using the AMS for the characterization of the...
