Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-525-2019
© 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-12-525-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks
Satoshi Takahama
CORRESPONDING AUTHOR
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Ann M. Dillner
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Andrew T. Weakley
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Matteo Reggente
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Charlotte Bürki
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Mária Lbadaoui-Darvas
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Bruno Debus
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Adele Kuzmiakova
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Anthony S. Wexler
Air Quality Research Center, University of California Davis, Davis, CA 95616, USA
Center for Health and the Environment, University of California, Davis, CA 95616, USA
Mechanical and Aeronautical Engineering, University of California, Davis, CA 95616, USA
Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
Land, Air and Water Resources, University of California, Davis, CA 95616, USA
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- Online measurement of carbonaceous aerosols in suburban Shanghai during winter over a three-year period: Temporal variations, meteorological effects, and sources L. Yao et al. 10.1016/j.atmosenv.2020.117408
- Applying Finite Mixture Models to Quantify Respirable Dust Mass in Coal and Metal–Nonmetal Mines Using Fourier Transform Infrared Spectroscopy A. Weakley et al. 10.1177/00037028241296158
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15 citations as recorded by crossref.
- Comparison of methods of functional group analysis using results from laboratory and field aerosol measurements M. Claflin et al. 10.1080/02786826.2021.1918325
- A review of experimental techniques for aerosol hygroscopicity studies M. Tang et al. 10.5194/acp-19-12631-2019
- Biogenic secondary organic aerosols: A review on formation mechanism, analytical challenges and environmental impacts M. Mahilang et al. 10.1016/j.chemosphere.2020.127771
- Fourier Transform Infrared (FTIR) Spectroscopy for Measurements of Vehicle Exhaust Emissions: A Review B. Giechaskiel & M. Clairotte 10.3390/app11167416
- 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
- A study on microbial mechanism in response to different nano-plastics concentrations in constructed wetland and its carbon footprints analysis T. Zhang et al. 10.1016/j.cej.2023.148023
- About right: references in open-access EGU (European Geosciences Union) journals A. Pozzer 10.5194/gc-4-453-2021
- Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview A. Nicolle et al. 10.1021/acs.jcim.3c01633
- Characterization of atmospheric aerosols and source apportionment analyses in urban Harbin, northeast China Q. Chen et al. 10.1016/j.infrared.2019.103109
- 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
- Near infrared hyperspectral imaging as a tool for quantifying atmospheric carbonaceous aerosol S. Elcoroaristizabal & J. Amigo 10.1016/j.microc.2020.105619
- Design and fabrication of an electrostatic precipitator for infrared spectroscopy N. Dudani & S. Takahama 10.5194/amt-15-4693-2022
- Online measurement of carbonaceous aerosols in suburban Shanghai during winter over a three-year period: Temporal variations, meteorological effects, and sources L. Yao et al. 10.1016/j.atmosenv.2020.117408
- Applying Finite Mixture Models to Quantify Respirable Dust Mass in Coal and Metal–Nonmetal Mines Using Fourier Transform Infrared Spectroscopy A. Weakley et al. 10.1177/00037028241296158
- The performance of an inexpensive spark-induced breakdown spectroscopy instrument for near real-time analysis of toxic metal particles H. Li et al. 10.1016/j.atmosenv.2021.118666
Latest update: 26 Dec 2024
Short summary
Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative and present an opportunity for cost-effective measurement of PM provided that quantitative calibration models can be built. We review an emerging strategy for building statistical calibration models using collocated measurements, interpreting the physical bases for such models and evaluating the suitability of existing calibration models to new samples.
Mid-infrared spectra of particulate matter (PM) samples are complex but chemically informative...