Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1097-2015
© 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-8-1097-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Mar 2015
Research article |
| 05 Mar 2015
Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: organic carbon
A. M. Dillner
CORRESPONDING AUTHOR
University of California, Davis, Davis, California, USA
S. Takahama
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
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Cited
25 citations as recorded by crossref.
- 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
- Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network M. Kamruzzaman et al. 10.1016/j.atmosenv.2017.10.053
- 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
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. 10.5194/amt-17-2401-2024
- 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
- Organic and inorganic decomposition products from the thermal desorption of atmospheric particles B. Williams et al. 10.5194/amt-9-1569-2016
- 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
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Aerosol Optical Thickness: Organic Composition, Associated Particle Water, and Aloft Extinction A. Christiansen et al. 10.1021/acsearthspacechem.8b00163
- Characterization of thermal decomposition of oxygenated organic compounds in FIGAERO-CIMS L. Yang et al. 10.1080/02786826.2021.1945529
- 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
- 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
- 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
- Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid‐infrared spectroscopy S. Takahama & A. Dillner 10.1002/cem.2761
- Complementary online aerosol mass spectrometry and offline FT-IR spectroscopy measurements: Prospects and challenges for the analysis of anthropogenic aerosol particle emissions P. Faber et al. 10.1016/j.atmosenv.2017.07.014
- Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry D. Parks et al. 10.1080/02786826.2021.1917764
- 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
- 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
- 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
- Changing Nature of Organic Carbon over the United States A. Christiansen et al. 10.1021/acs.est.0c02225
- 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
- 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
- Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon A. Dillner & S. Takahama 10.5194/amt-8-4013-2015
25 citations as recorded by crossref.
- 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
- Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network M. Kamruzzaman et al. 10.1016/j.atmosenv.2017.10.053
- 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
- Quantifying functional group compositions of household fuel-burning emissions E. Li et al. 10.5194/amt-17-2401-2024
- 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
- Organic and inorganic decomposition products from the thermal desorption of atmospheric particles B. Williams et al. 10.5194/amt-9-1569-2016
- 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
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Aerosol Optical Thickness: Organic Composition, Associated Particle Water, and Aloft Extinction A. Christiansen et al. 10.1021/acsearthspacechem.8b00163
- Characterization of thermal decomposition of oxygenated organic compounds in FIGAERO-CIMS L. Yang et al. 10.1080/02786826.2021.1945529
- 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
- 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
- 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
- Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid‐infrared spectroscopy S. Takahama & A. Dillner 10.1002/cem.2761
- Complementary online aerosol mass spectrometry and offline FT-IR spectroscopy measurements: Prospects and challenges for the analysis of anthropogenic aerosol particle emissions P. Faber et al. 10.1016/j.atmosenv.2017.07.014
- Quantifying elemental and organic carbon in diesel particulate matter by mid-infrared spectrometry D. Parks et al. 10.1080/02786826.2021.1917764
- 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
- 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
- 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
- Changing Nature of Organic Carbon over the United States A. Christiansen et al. 10.1021/acs.est.0c02225
- 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
- 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
- Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon A. Dillner & S. Takahama 10.5194/amt-8-4013-2015
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
We demonstrate the feasibility of using FT-IR spectra of aerosols and a multivariate calibration to estimate organic carbon (OC) from thermal-optical reflectance analysis. Using 800 IMPROVE samples, we establish that prediction error can be explained by differences in distributions of OC and aerosol composition between calibration and test set. This work is an initial step in proposing a non-destructive analysis method that can reduce the operating costs of large air quality monitoring networks.
We demonstrate the feasibility of using FT-IR spectra of aerosols and a multivariate calibration...
