Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5207-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5207-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Sep 2022
Research article |
| 15 Sep 2022
| 15 Sep 2022
Thermal–optical analysis of quartz fiber filters loaded with snow samples – determination of iron based on interferences caused by mineral dust
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Marion Greilinger
Section Climate Monitoring and Cryosphere, Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Vienna, 1190, Austria
Bernadette Kirchsteiger
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Aron Göndör
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Christopher Herzig
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Andreas Limbeck
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Elisabeth Eitenberger
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
Anne Kasper-Giebl
Institute of Technologies and Analytics, TU Wien, Vienna, 1060,
Austria
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Short summary
The use of thermal–optical analysis for the determination of elemental carbon (EC) and organic carbon (OC) can be biased by mineral dust (MD). We present a method that utilizes this interference to quantify iron contained in MD in snow samples. Possibilities and limitations of applying this method to particulate matter samples are presented. The influence of light-absorbing iron compounds in MD on the transmittance signal can be used to identify samples experiencing a bias of the OC / EC split.
The use of thermal–optical analysis for the determination of elemental carbon (EC) and organic...
