Quantifying functional group compositions of household fuel-burning emissions

Li, Emily Y.; Yazdani, Amir; Dillner, Ann M.; Shen, Guofeng; Champion, Wyatt M.; Jetter, James J.; Preston, William T.; Russell, Lynn M.; Hays, Michael D.; Takahama, Satoshi

doi:https://doi.org/10.5194/amt-17-2401-2024

Articles | Volume 17, issue 8

https://doi.org/10.5194/amt-17-2401-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-2401-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 8

Research article

|

22 Apr 2024

Research article |

| 22 Apr 2024

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

Supplement

https://doi.org/10.5194/amt-17-2401-2024-supplement

Data sets

Data for Quantifying functional group compositions of household fuel-burning emissions Emily Y. Li et al. https://doi.org/10.5281/zenodo.10970006

AMS and FTIR spectra of primary and aged fine PM from wood burning and coal combustion Amir Yazdani et al. https://doi.org/10.5281/zenodo.4882967

Short summary

Infrared spectroscopy is a cost-effective measurement technique to characterize the chemical composition of organic aerosol emissions. This technique differentiates the organic matter emission factor from different fuel sources by their characteristic functional groups. Comparison with collocated measurements suggests that polycyclic aromatic hydrocarbon concentrations in emissions estimated by conventional chromatography may be substantially underestimated.