Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2685-2022
© 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-15-2685-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network
Bruno Debus
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Andrew T. Weakley
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Satoshi Takahama
ENAC/IIE, Swiss Federal Institute of Technology Lausanne (EPFL),
Lausanne, Switzerland
Kathryn M. George
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Monitoring and Laboratory Division, California Air Resources Board,
Sacramento, CA 95811, USA
Anahita Amiri-Farahani
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Bret Schichtel
National Park Service, Cooperative Institute for Research in the
Atmosphere, Colorado State University, Fort Collins, CO 80523, USA
Scott Copeland
Cooperative Institute for Research in the Atmosphere, Colorado
State University, Fort Collins, CO 80523, USA
Anthony S. Wexler
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
Department of Mechanical and Aerospace Engineering, University of California, Davis, Davis, CA 95616, USA
Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA 95616, USA
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA 95616, USA
Ann M. Dillner
CORRESPONDING AUTHOR
Air Quality Research Center, University of California, Davis,
Davis, CA 95618, USA
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Cited
11 citations as recorded by crossref.
- Understanding the impacts of inorganic species in woody biomass for preprocessing and pyrolysis–A review L. Ding et al. https://doi.org/10.1016/j.energy.2025.135697
- Composition-Dependent Hygroscopicity of Local and Long-Range Wildfire Transported Smoke N. Raparthi et al. https://doi.org/10.1021/acsestair.5c00507
- Design and fabrication of an electrostatic precipitator for infrared spectroscopy N. Dudani & S. Takahama https://doi.org/10.5194/amt-15-4693-2022
- Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements Y. Ren et al. https://doi.org/10.1038/s41467-025-62468-5
- Contrasting long-range transport signals of metropolitan PM2.5 in South Korea detected by SPARTAN observations S. Eom et al. https://doi.org/10.1016/j.apr.2026.103088
- Characteristics and health implications of fine particulate matter near urban road site in Islamabad, Pakistan S. Hussain et al. https://doi.org/10.1016/j.envres.2024.118862
- Applying Finite Mixture Models to Quantify Respirable Dust Mass in Coal and Metal–Nonmetal Mines Using Fourier Transform Infrared Spectroscopy A. Weakley et al. https://doi.org/10.1177/00037028241296158
- A novel methodology for assessing the hygroscopicity of aerosol filter samples N. Raparthi et al. https://doi.org/10.5194/amt-18-603-2025
- Assessing Attenuation Effects in X-ray Fluorescence Analysis of Light Elements in Mineral Dust X. Liu et al. https://doi.org/10.1021/acsestair.5c00295
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. https://doi.org/10.5194/amt-17-2401-2024
- Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy M. Anunciado et al. https://doi.org/10.5194/amt-16-3515-2023
11 citations as recorded by crossref.
- Understanding the impacts of inorganic species in woody biomass for preprocessing and pyrolysis–A review L. Ding et al. https://doi.org/10.1016/j.energy.2025.135697
- Composition-Dependent Hygroscopicity of Local and Long-Range Wildfire Transported Smoke N. Raparthi et al. https://doi.org/10.1021/acsestair.5c00507
- Design and fabrication of an electrostatic precipitator for infrared spectroscopy N. Dudani & S. Takahama https://doi.org/10.5194/amt-15-4693-2022
- Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements Y. Ren et al. https://doi.org/10.1038/s41467-025-62468-5
- Contrasting long-range transport signals of metropolitan PM2.5 in South Korea detected by SPARTAN observations S. Eom et al. https://doi.org/10.1016/j.apr.2026.103088
- Characteristics and health implications of fine particulate matter near urban road site in Islamabad, Pakistan S. Hussain et al. https://doi.org/10.1016/j.envres.2024.118862
- Applying Finite Mixture Models to Quantify Respirable Dust Mass in Coal and Metal–Nonmetal Mines Using Fourier Transform Infrared Spectroscopy A. Weakley et al. https://doi.org/10.1177/00037028241296158
- A novel methodology for assessing the hygroscopicity of aerosol filter samples N. Raparthi et al. https://doi.org/10.5194/amt-18-603-2025
- Assessing Attenuation Effects in X-ray Fluorescence Analysis of Light Elements in Mineral Dust X. Liu et al. https://doi.org/10.1021/acsestair.5c00295
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. https://doi.org/10.5194/amt-17-2401-2024
- Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy M. Anunciado et al. https://doi.org/10.5194/amt-16-3515-2023
Saved (final revised paper)
Latest update: 06 Sep 2026
Short summary
In the US, routine particulate matter composition is measured on samples collected on three types of filter media and analyzed using several techniques. We propose an alternate approach that uses one analytical technique, Fourier transform-infrared spectroscopy (FT-IR), and one filter type to measure the chemical composition of particulate matter in a major US monitoring network. This method could be used to add low-cost sites to the network, fill-in missing data, or for quality control.
In the US, routine particulate matter composition is measured on samples collected on three...