Articles | Volume 17, issue 8
https://doi.org/10.5194/amt-17-2401-2024
https://doi.org/10.5194/amt-17-2401-2024
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-90', Anonymous Referee #1, 24 Jul 2023
  • RC2: 'Comment on amt-2023-90', Anonymous Referee #2, 24 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Satoshi Takahama on behalf of the Authors (12 Oct 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (03 Jan 2024) by Rebecca Washenfelder
AR by Satoshi Takahama on behalf of the Authors (02 Feb 2024)
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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.