Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5391-2019
© Author(s) 2019. 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-12-5391-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2019
Research article |
| 10 Oct 2019
| 10 Oct 2019
Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods
Alexandra J. Boris
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Satoshi Takahama
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EFPL), Lausanne, Switzerland
Andrew T. Weakley
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Bruno M. Debus
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Carley D. Fredrickson
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
now at: Department of Atmospheric Sciences, University of Washington, Seattle, WA 89195, USA
Martin Esparza-Sanchez
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Charlotte Burki
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EFPL), Lausanne, Switzerland
Matteo Reggente
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EFPL), Lausanne, Switzerland
Stephanie L. Shaw
Electric Power Research Institute, Palo Alto, CA 94304, USA
Eric S. Edgerton
Atmospheric Research & Analysis, Inc., Cary, NC 27513, USA
Ann M. Dillner
CORRESPONDING AUTHOR
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
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Cited
16 citations as recorded by crossref.
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations C. Bürki et al. 10.5194/amt-13-1517-2020
- Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network B. Debus et al. 10.5194/amt-15-2685-2022
- Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system C. Su et al. 10.5194/amt-13-5407-2020
- Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy M. Anunciado et al. 10.5194/amt-16-3515-2023
- Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network A. Yazdani et al. 10.5194/amt-14-4805-2021
- An Analysis of Primary Contributing Sources to the PM2.5 Composition in a Port City in Canada Influenced by Traffic, Marine, and Wildfire Emissions S. Delbari et al. 10.1016/j.atmosenv.2024.120712
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. 10.5194/amt-17-2401-2024
- Ratios of organic mass to organic carbon in fine particulate matter at urban sites in China and Korea during winter and summer G. Yu et al. 10.1007/s11356-024-35246-x
- Characterization of the organic functional group composition and sources of summertime aerosols in an eastern city of China K. Xia et al. 10.1016/j.atmosenv.2022.119078
- Revealing the Adverse Impact of Additive Carbon Material on Microorganisms and Its Implications for Biogas Yields: A Critical Review M. Kozłowski et al. 10.3390/ma16237250
- An integrated aerosol setup for therapeutics and toxicological testing: Generation techniques and measurement instrumentation S. Valiulin et al. 10.1016/j.measurement.2021.109659
- Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols A. Yazdani et al. 10.5194/acp-21-10273-2021
- Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime A. Yazdani et al. 10.5194/acp-23-7461-2023
- Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 2: Spatiotemporal trends A. Boris et al. 10.5194/amt-14-4355-2021
- Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy A. Yazdani et al. 10.5194/amt-15-2857-2022
- Seasonal variation of the chemical content and source identification of PM2.5 in a mixed landuse in Iran M. Zare Shahne et al. 10.1007/s13762-024-06138-x
16 citations as recorded by crossref.
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations C. Bürki et al. 10.5194/amt-13-1517-2020
- Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network B. Debus et al. 10.5194/amt-15-2685-2022
- Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system C. Su et al. 10.5194/amt-13-5407-2020
- Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy M. Anunciado et al. 10.5194/amt-16-3515-2023
- Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network A. Yazdani et al. 10.5194/amt-14-4805-2021
- An Analysis of Primary Contributing Sources to the PM2.5 Composition in a Port City in Canada Influenced by Traffic, Marine, and Wildfire Emissions S. Delbari et al. 10.1016/j.atmosenv.2024.120712
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. 10.5194/amt-17-2401-2024
- Ratios of organic mass to organic carbon in fine particulate matter at urban sites in China and Korea during winter and summer G. Yu et al. 10.1007/s11356-024-35246-x
- Characterization of the organic functional group composition and sources of summertime aerosols in an eastern city of China K. Xia et al. 10.1016/j.atmosenv.2022.119078
- Revealing the Adverse Impact of Additive Carbon Material on Microorganisms and Its Implications for Biogas Yields: A Critical Review M. Kozłowski et al. 10.3390/ma16237250
- An integrated aerosol setup for therapeutics and toxicological testing: Generation techniques and measurement instrumentation S. Valiulin et al. 10.1016/j.measurement.2021.109659
- Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols A. Yazdani et al. 10.5194/acp-21-10273-2021
- Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime A. Yazdani et al. 10.5194/acp-23-7461-2023
- Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 2: Spatiotemporal trends A. Boris et al. 10.5194/amt-14-4355-2021
- Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy A. Yazdani et al. 10.5194/amt-15-2857-2022
- Seasonal variation of the chemical content and source identification of PM2.5 in a mixed landuse in Iran M. Zare Shahne et al. 10.1007/s13762-024-06138-x
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Short summary
Organic species are abundant in atmospheric particle-phase (aerosol) pollution and originate from a variety of biogenic and anthropogenic sources. Infrared spectrometry of filter-based atmospheric particle samples can afford a direct measurement of the particulate organic matter concentration and a characterization of its composition. This work discusses recent method improvements and compositions measured in samples from the SouthEastern Aerosol Research and Characterization (SEARCH) network.
Organic species are abundant in atmospheric particle-phase (aerosol) pollution and originate...
