Articles | Volume 8, issue 10
https://doi.org/10.5194/amt-8-4013-2015
© Author(s) 2015. 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-8-4013-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon
A. M. Dillner
CORRESPONDING AUTHOR
University of California – Davis, Davis, California, USA
École polytechnique fédérale de Lausanne, Lausanne, Switzerland
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Cited
18 citations as recorded by crossref.
- Thermal/optical reflectance equivalent organic and elemental carbon determined from federal reference and equivalent method fine particulate matter samples using Fourier transform infrared spectrometry A. Weakley et al. 10.1080/02786826.2018.1504161
- Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites M. Reggente et al. 10.5194/amt-9-441-2016
- Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry D. Parks et al. 10.1080/02786826.2021.1917764
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands S. Takahama et al. 10.5194/amt-9-3429-2016
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples M. Reggente et al. 10.5194/amt-12-2287-2019
- Quantitative Inversion of Fixed Carbon Content in Coal Gangue by Thermal Infrared Spectral Data L. Song et al. 10.3390/en12091659
- Methodology to Create Reproducible Validation/Reference Materials for Comparison of Filter-Based Measurements of Carbonaceous Aerosols That Measure BC, BrC, EC, OC, and TC P. Solomon et al. 10.3390/metrology1020010
- Measurement of organic and elemental carbon in the char deposits from the combustion of permitted and undesirable fuels in domestic boilers M. Kucbel et al. 10.1016/j.fuel.2022.123749
- Long-Term Strategy for Assessing Carbonaceous Particulate Matter Concentrations from Multiple Fourier Transform Infrared (FT-IR) Instruments: Influence of Spectral Dissimilarities on Multivariate Calibration Performance B. Debus et al. 10.1177/0003702818804574
- Ambient aerosol composition by infrared spectroscopy and partial least-squares in the chemical speciation network: Organic carbon with functional group identification A. Weakley et al. 10.1080/02786826.2016.1217389
- Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks S. Takahama et al. 10.5194/amt-12-525-2019
- Ambient aerosol composition by infrared spectroscopy and partial least squares in the chemical speciation network: Multilevel modeling for elemental carbon A. Weakley et al. 10.1080/02786826.2018.1439571
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Atomic spectrometry update – a review of advances in environmental analysis O. Butler et al. 10.1039/C6JA90058E
- An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters A. Kuzmiakova et al. 10.5194/amt-9-2615-2016
- Near infrared hyperspectral imaging as a tool for quantifying atmospheric carbonaceous aerosol S. Elcoroaristizabal & J. Amigo 10.1016/j.microc.2020.105619
- Towards a Field-Portable Real-Time Organic and Elemental Carbon Monitor D. Parks et al. 10.1007/s42461-019-0064-8
- 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
18 citations as recorded by crossref.
- Thermal/optical reflectance equivalent organic and elemental carbon determined from federal reference and equivalent method fine particulate matter samples using Fourier transform infrared spectrometry A. Weakley et al. 10.1080/02786826.2018.1504161
- Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites M. Reggente et al. 10.5194/amt-9-441-2016
- Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry D. Parks et al. 10.1080/02786826.2021.1917764
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands S. Takahama et al. 10.5194/amt-9-3429-2016
- Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples M. Reggente et al. 10.5194/amt-12-2287-2019
- Quantitative Inversion of Fixed Carbon Content in Coal Gangue by Thermal Infrared Spectral Data L. Song et al. 10.3390/en12091659
- Methodology to Create Reproducible Validation/Reference Materials for Comparison of Filter-Based Measurements of Carbonaceous Aerosols That Measure BC, BrC, EC, OC, and TC P. Solomon et al. 10.3390/metrology1020010
- Measurement of organic and elemental carbon in the char deposits from the combustion of permitted and undesirable fuels in domestic boilers M. Kucbel et al. 10.1016/j.fuel.2022.123749
- Long-Term Strategy for Assessing Carbonaceous Particulate Matter Concentrations from Multiple Fourier Transform Infrared (FT-IR) Instruments: Influence of Spectral Dissimilarities on Multivariate Calibration Performance B. Debus et al. 10.1177/0003702818804574
- Ambient aerosol composition by infrared spectroscopy and partial least-squares in the chemical speciation network: Organic carbon with functional group identification A. Weakley et al. 10.1080/02786826.2016.1217389
- Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks S. Takahama et al. 10.5194/amt-12-525-2019
- Ambient aerosol composition by infrared spectroscopy and partial least squares in the chemical speciation network: Multilevel modeling for elemental carbon A. Weakley et al. 10.1080/02786826.2018.1439571
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Atomic spectrometry update – a review of advances in environmental analysis O. Butler et al. 10.1039/C6JA90058E
- An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters A. Kuzmiakova et al. 10.5194/amt-9-2615-2016
- Near infrared hyperspectral imaging as a tool for quantifying atmospheric carbonaceous aerosol S. Elcoroaristizabal & J. Amigo 10.1016/j.microc.2020.105619
- Towards a Field-Portable Real-Time Organic and Elemental Carbon Monitor D. Parks et al. 10.1007/s42461-019-0064-8
- 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
Latest update: 23 Nov 2024
Short summary
Elemental carbon (EC), a constituent of atmospheric particulate matter (PM), adversely affects climate, visibility and human health. EC is measured in PM monitoring networks world-wide but the method is expensive and destructive to the samples. Here, methods are presented to accurately predict EC using Fourier transform infrared (FT-IR) analysis which is inexpensive and non-destructive. This method complements measurements of organic carbon and organic functional groups made using FT-IR.
Elemental carbon (EC), a constituent of atmospheric particulate matter (PM), adversely affects...