Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions

Li, Ying; Day, Douglas A.; Stark, Harald; Jimenez, Jose L.; Shiraiwa, Manabu

doi:https://doi.org/10.5194/acp-20-8103-2020

Articles | Volume 20, issue 13

https://doi.org/10.5194/acp-20-8103-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-8103-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 13

Research article

|

13 Jul 2020

Research article |

| 13 Jul 2020

Predictions of the glass transition temperature and viscosity of organic aerosols from volatility distributions

Ying Li, Douglas A. Day, Harald Stark, Jose L. Jimenez, and Manabu Shiraiwa

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Final revised paper (published on 13 Jul 2020)
Supplement to the final revised paper
Preprint (discussion started on 06 Jan 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of Li et al “Predictions of glass transition temperature and viscosity of organic aerosols by volatility distributions”', Anonymous Referee #1, 26 Mar 2020
- AC1: 'Response to Referee 1', Manabu Shiraiwa, 10 Jun 2020
RC2: 'Manuscript Peer Review', Anonymous Referee #2, 29 Apr 2020
- AC2: 'Response to Referee 2', Manabu Shiraiwa, 10 Jun 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Manabu Shiraiwa on behalf of the Authors (10 Jun 2020) Author's response Manuscript

ED: Publish as is (21 Jun 2020) by Neil M. Donahue

AR by Manabu Shiraiwa on behalf of the Authors (22 Jun 2020)

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Short summary

Viscosity is an important property of organic aerosols, but viscosity measurements of ambient organic aerosols are scarce. We developed a method to predict glass transition temperatures using volatility and the atomic oxygen-to-carbon ratio. The method was applied to field observations of volatility distributions to predict viscosity of ambient organic aerosols, yielding consistent results with ambient particle phase-state measurements and global simulations.