Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1097-2015
https://doi.org/10.5194/amt-8-1097-2015
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 and S. Takahama

Related authors

Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy
Marife B. Anunciado, Miranda De Boskey, Laura Haines, Katarina Lindskog, Tracy Dombek, Satoshi Takahama, and Ann M. Dillner
Atmos. Meas. Tech., 16, 3515–3529, https://doi.org/10.5194/amt-16-3515-2023,https://doi.org/10.5194/amt-16-3515-2023, 2023
Short summary
Quantifying Functional Group Compositions of Household Fuel Burning Emissions
Emily Y. Li, Amir Yazdani, Ann M. Dillner, Guofeng Shen, Wyatt M. Champion, James J. Jetter, William T. Preston, Lynn M. Russell, Michael D. Hays, and Satoshi Takahama
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-90,https://doi.org/10.5194/amt-2023-90, 2023
Revised manuscript accepted for AMT
Short summary
Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2857–2874, https://doi.org/10.5194/amt-15-2857-2022,https://doi.org/10.5194/amt-15-2857-2022, 2022
Short summary
Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network
Bruno Debus, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Anahita Amiri-Farahani, Bret Schichtel, Scott Copeland, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2685–2702, https://doi.org/10.5194/amt-15-2685-2022,https://doi.org/10.5194/amt-15-2685-2022, 2022
Short summary
Estimating mean molecular weight, carbon number, and OM∕OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network
Amir Yazdani, Ann M. Dillner, and Satoshi Takahama
Atmos. Meas. Tech., 14, 4805–4827, https://doi.org/10.5194/amt-14-4805-2021,https://doi.org/10.5194/amt-14-4805-2021, 2021
Short summary

Related subject area

Subject: Aerosols | Technique: Laboratory Measurement | Topic: Instruments and Platforms
Characterization of the planar differential mobility analyzer (DMA P5): resolving power, transmission efficiency and its application to atmospheric relevant cluster measurements
Zhengning Xu, Jian Gao, Zhuanghao Xu, Michel Attoui, Xiangyu Pei, Mario Amo-González, Kewei Zhang, and Zhibin Wang
Atmos. Meas. Tech., 16, 5995–6006, https://doi.org/10.5194/amt-16-5995-2023,https://doi.org/10.5194/amt-16-5995-2023, 2023
Short summary
Airborne bacteria viability and air quality: a protocol to quantitatively investigate the possible correlation by an atmospheric simulation chamber
Virginia Vernocchi, Elena Abd El, Marco Brunoldi, Silvia Giulia Danelli, Elena Gatta, Tommaso Isolabella, Federico Mazzei, Franco Parodi, Paolo Prati, and Dario Massabò
Atmos. Meas. Tech., 16, 5479–5493, https://doi.org/10.5194/amt-16-5479-2023,https://doi.org/10.5194/amt-16-5479-2023, 2023
Short summary
The viscosity and surface tension of supercooled levitated droplets determined by excitation of shape oscillations
Mohit Singh, Stephanie Helen Jones, Alexei Kiselev, Denis Duft, and Thomas Leisner
Atmos. Meas. Tech., 16, 5205–5215, https://doi.org/10.5194/amt-16-5205-2023,https://doi.org/10.5194/amt-16-5205-2023, 2023
Short summary
Acoustic levitation of pollen and visualisation of hygroscopic behaviour
Sophie A. Mills, Adam Milsom, Christian Pfrang, A. Rob MacKenzie, and Francis D. Pope
Atmos. Meas. Tech., 16, 4885–4898, https://doi.org/10.5194/amt-16-4885-2023,https://doi.org/10.5194/amt-16-4885-2023, 2023
Short summary
Concept, absolute calibration, and validation of a new benchtop laser imaging polar nephelometer
Alireza Moallemi, Robin L. Modini, Benjamin T. Brem, Barbara Bertozzi, Philippe Giaccari, and Martin Gysel-Beer
Atmos. Meas. Tech., 16, 3653–3678, https://doi.org/10.5194/amt-16-3653-2023,https://doi.org/10.5194/amt-16-3653-2023, 2023
Short summary

Cited articles

Allen, D. T., Palen, E. J., Haimov, M. I., Hering, S. V., and Young, J. R.: Fourier-transform infrared-spectroscopy of aerosol collected in a low-pressure impactor (LPI/FTIR) – method development and field calibration, Aerosol Sci. Technol., 21, 325–342, https://doi.org/10.1080/02786829408959719, 1994.
Anderson, J. O., Thundiyil, J. G., and Stolbach, A.: Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health, Journal of Medical Toxicology, 8, 166–175, https://doi.org/10.1007/s13181-011-0203-1, 2012.
Arlot, S. and Celisse, A.: A survey of cross-validation procedures for model selection, Statistics Surveys, 4, 40–79, 2010.
Bahadur, R., Uplinger, T., Russell, L. M., Sive, B. C., Cliff, S. S., Millet, D. B., Goldstein, A., and Bates, T. S.: Phenol Groups in Northeastern US Submicrometer Aerosol Particles Produced from Seawater Sources, Environ. Sci. Technol., 44, 2542–2548, https://doi.org/10.1021/es9032277, 2010.
Birch, M. E. and Cary, R. A.: Elemental carbon-based method for occupational monitoring of particulate diesel exhaust: Methodology and exposure issues, Analyst, 121, 1183–1190, https://doi.org/10.1039/an9962101183, 1996.
Download
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.