Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2685-2022
https://doi.org/10.5194/amt-15-2685-2022
Research article
 | 
04 May 2022
Research article |  | 04 May 2022

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

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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-2021-382', Anonymous Referee #2, 14 Jan 2022
    • AC1: 'Reply on RC1', Ann Dillner, 26 Feb 2022
  • RC2: 'Comment on amt-2021-382', Anonymous Referee #1, 15 Jan 2022
    • AC2: 'Reply on RC2', Ann Dillner, 26 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Ann Dillner on behalf of the Authors (26 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (06 Mar 2022) by Albert Presto
AR by Ann Dillner on behalf of the Authors (22 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (27 Mar 2022) by Albert Presto
AR by Ann Dillner on behalf of the Authors (05 Apr 2022)  Author's response   Manuscript 
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Short summary
In the US, routine particulate matter composition is measured on samples collected on three types of filter media and analyzed using several techniques. We propose an alternate approach that uses one analytical technique, Fourier transform-infrared spectroscopy (FT-IR), and one filter type to measure the chemical composition of particulate matter in a major US monitoring network. This method could be used to add low-cost sites to the network, fill-in missing data, or for quality control.