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ACP | Articles | Volume 20, issue 13
Atmos. Chem. Phys., 20, 7693–7716, 2020
https://doi.org/10.5194/acp-20-7693-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 7693–7716, 2020
https://doi.org/10.5194/acp-20-7693-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jul 2020

Research article | 02 Jul 2020

Deconvolution of FIGAERO–CIMS thermal desorption profiles using positive matrix factorisation to identify chemical and physical processes during particle evaporation

Angela Buchholz et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Angela Buchholz on behalf of the Authors (15 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Mar 2020) by Joachim Curtius
RR by Anonymous Referee #3 (23 Mar 2020)
RR by Anonymous Referee #1 (24 Mar 2020)
RR by Anonymous Referee #2 (02 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (05 Apr 2020) by Joachim Curtius
AR by Angela Buchholz on behalf of the Authors (15 Apr 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (01 May 2020) by Joachim Curtius
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Short summary
To understand the role of aerosol particles in the atmosphere, it is necessary to know their detailed chemical composition and physical properties, especially volatility. The thermal desorption data from FIGAERO–CIMS provides both but are difficult to analyse. With positive matrix factorisation, we can separate instrument background from the real signal. Compounds can be classified by their apparent volatility, and the contribution of thermal decomposition in the instrument can be identified.
To understand the role of aerosol particles in the atmosphere, it is necessary to know their...
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