Articles | Volume 9, issue 6
https://doi.org/10.5194/amt-9-2615-2016
© 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-9-2615-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jun 2016
Research article |
| 21 Jun 2016
An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters
Adele Kuzmiakova
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
Ann M. Dillner
University of California, Davis, California, USA
Satoshi Takahama
CORRESPONDING AUTHOR
ENAC/IIE Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
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18 citations as recorded by crossref.
- 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
- 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
- Design and fabrication of an electrostatic precipitator for infrared spectroscopy N. Dudani & S. Takahama 10.5194/amt-15-4693-2022
- 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
- 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
- Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy M. Anunciado et al. 10.5194/amt-16-3515-2023
- 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
- 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
- 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
- Atmospheric Aerosol Chemistry: Spectroscopic and Microscopic Advances A. Ault & J. Axson 10.1021/acs.analchem.6b04670
- Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods A. Boris et al. 10.5194/amt-12-5391-2019
- A review of experimental techniques for aerosol hygroscopicity studies M. Tang et al. 10.5194/acp-19-12631-2019
- An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec M. Reggente et al. 10.5194/amt-12-2313-2019
- Novel methodology for evaluation of cellulose pyrolysis kinetics implementing infrared spectroscopy in situ E. Orrego-Restrepo et al. 10.1016/j.jaap.2022.105589
- 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
- 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
- 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
Latest update: 22 Jan 2025
Short summary
We describe a new method for removing Teflon substrate interference from ambient aerosol infrared spectra such that functional group quantification and spectral clustering (for source classification) can be applied. We demonstrate that this technique produces similar results to a more labor-intensive method used in many field campaigns over the past several years, but is simpler and better constrained by physical criteria that we impose, leading to the possibility of widespread adoption.
We describe a new method for removing Teflon substrate interference from ambient aerosol...
