Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3429-2016
© Author(s) 2016. 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-9-3429-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jul 2016
Research article |
| 28 Jul 2016
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands
Satoshi Takahama
CORRESPONDING AUTHOR
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Giulia Ruggeri
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Ann M. Dillner
University of California – Davis, Davis, California, USA
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17 citations as recorded by crossref.
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- 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
- 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
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15 citations as recorded by crossref.
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- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Towards a Field-Portable Real-Time Organic and Elemental Carbon Monitor D. Parks et al. 10.1007/s42461-019-0064-8
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- Atmospheric Aerosol Chemistry: Spectroscopic and Microscopic Advances A. Ault & J. Axson 10.1021/acs.analchem.6b04670
- 3D Solar Evaporation Enhancement by Superhydrophilic Copper Foam Inverted Cone and Graphene Oxide Functionalization Synergistic Cooperation F. Lv et al. 10.1002/smll.202208137
- 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
- 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
- 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
- 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
- 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
- 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
- A review of experimental techniques for aerosol hygroscopicity studies M. Tang et al. 10.5194/acp-19-12631-2019
- Utilization of phosphogypsum in CO2 mineral sequestration by producing potassium sulphate and calcium carbonate A. Lachehab et al. 10.1016/j.mset.2020.06.005
2 citations as recorded by crossref.
- 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
- 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
Latest update: 14 Dec 2024
Short summary
We introduce the application of statistical algorithms that allow us to associate various dimensions of aerosol composition to vibrational modes measured by infrared absorption spectroscopy. We demonstrate their use on four organic functional groups for which absorption bands are known and extend the application to interpret bands associated with ambient organic carbon and elemental carbon quantified by an independent measurement technique that is widely used in aerosol monitoring networks.
We introduce the application of statistical algorithms that allow us to associate various...
