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https://doi.org/10.5194/egusphere-2026-117
https://doi.org/10.5194/egusphere-2026-117
17 Feb 2026
 | 17 Feb 2026

Predicting Organic–Inorganic Aerosol Efflorescence Using Thermodynamically Modeled Viscosity

Shanshan Chen, Qishen Huang, Ying Li, Shu-Feng Pang, Pai Liu, and Yun-Hong Zhang

Abstract. Atmospheric aerosols, especially internally mixed organic-inorganic aerosols, exhibit complex phase behaviors that affect their size evolution, optical properties, and chemical reactivity, ultimately impacting climate and human health. Although parameterizations for secondary organic aerosol phase state exist, predictive models based on primary predictors for efflorescence in organic-inorganic aerosols remain underdeveloped. In this study, we evaluated several chemical parameters, including equivalent O:C ratio, organic mass fractions, glass transition temperature (Tg), and viscosity (η), and identified aerosol viscosity as the primary predictor of efflorescence relative humidity (ERH) in internally mixed organic-inorganic aerosols. We developed a linear viscosity-ERH model based on ERH and log10(η), which defines the boundary conditions for aerosol efflorescence when η< 4.76 × 10² Pa·s. Additionally, we showed that efflorescence is inhibited when η> 4.76 × 10² Pa·s. Validation using an independent dataset showed strong agreement between predicted and experimentally measured ERH (R² = 0.95). A multivariate regression model incorporating η and Tg improved prediction accuracy but was limited by Tg parameterization for complex organic-inorganic mixtures. Our findings highlight the role of aerosol viscosity in controlling efflorescence and emphasize the need to develop improved aerosol viscosity measurement techniques to better constrain aerosol phase transitions in atmospheric models.

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Shanshan Chen, Qishen Huang, Ying Li, Shu-Feng Pang, Pai Liu, and Yun-Hong Zhang

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-117', Anonymous Referee #1, 23 Feb 2026
    • AC2: 'Reply on RC1', Qishen Huang, 30 Mar 2026
  • CC1: 'Incorrect Tg values in Table S4', Thomas Koop, 26 Feb 2026
    • AC1: 'Reply on CC1', Qishen Huang, 06 Mar 2026
  • RC2: 'Comment on egusphere-2026-117', Anonymous Referee #2, 09 Mar 2026
    • AC3: 'Reply on RC2', Qishen Huang, 30 Mar 2026
  • RC3: 'Comment on egusphere-2026-117', Anonymous Referee #3, 09 Mar 2026
    • AC4: 'Reply on RC3', Qishen Huang, 30 Mar 2026
  • RC4: 'Comment on egusphere-2026-117', Anonymous Referee #4, 11 Mar 2026
  • RC5: 'Comment on egusphere-2026-117', Anonymous Referee #5, 15 Mar 2026
  • RC6: 'Comment on egusphere-2026-117', Anonymous Referee #6, 26 Mar 2026
Shanshan Chen, Qishen Huang, Ying Li, Shu-Feng Pang, Pai Liu, and Yun-Hong Zhang
Shanshan Chen, Qishen Huang, Ying Li, Shu-Feng Pang, Pai Liu, and Yun-Hong Zhang

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Short summary
Atmospheric aerosols undergo a key phase transition during drying, known as efflorescence, which strongly influences their growth, light scattering, and chemical reactivity. We show that viscosity is the primary factor controlling efflorescence in mixed organic–inorganic aerosols. By combining thermodynamic modeling with laboratory data, we develop a predictive framework that improves understanding of aerosol phase behavior and its implications for air quality and climate.
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