Intrinsic Chemical Drivers of Organic Aerosol Volatility: From Experimental Insights to Model Predictions

Abstract Accurately predicting the volatilities of molecules in aerosols is challenging but crucial for understanding the atmospheric effects of aerosols. We used negative and positive ion electrospray ionization Fourier‐transform ion cyclotron resonance mass spectrometry (FT‐ICR MS) to identify differences in the molecular compositions of gas and particle phase samples from urban atmosphere. We aimed to identify intrinsic chemical parameters that determine and predict the organic aerosol volatility. We found higher average molecular weights, carbon mass percentages, and double bond equivalents (DBE) but lower average O/C ratios and oxygen mass percentages in the particle phase than the gas phase. We identified DBE, which display a significant negative correlation with volatility, as a key parameter. We proposed to improve the previous model for predicting organic aerosol volatility by incorporating DBE as a new variant; and the result showed that this subsequently improved the accuracy of the model, particularly for compounds with minimal or no heteroatoms (0–2) such as hydrocarbons (CH). The revised model offers insights into the contributions of DBE, carbon, nitrogen, oxygen, and sulfur atoms to the volatilities of diverse organic molecules in aerosols and could be applied to improve our understanding of the phase distributions of volatile organic compounds in the ambient air.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2024-11-05
DOI
https://doi.org/10.1029/2024jd041286
Citations
5
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.88

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article

Intrinsic Chemical Drivers of Organic Aerosol Volatility: From Experimental Insights to Model Predictions

Bin Jiang, Weiwei Hu, Lele Tian, Shizhen Zhao et al.
5 citations
Journal of Geophysical Research Atmospheres
Atmospheric chemistry and aerosols
1.88
article

Intrinsic Chemical Drivers of Organic Aerosol Volatility: From Experimental Insights to Model Predictions

Bin Jiang, Weiwei Hu, Lele Tian, Shizhen Zhao, Wei Chen, Jun Li, Gan Zhang
article en
5 citations

Abstract

Abstract Accurately predicting the volatilities of molecules in aerosols is challenging but crucial for understanding the atmospheric effects of aerosols. We used negative and positive ion electrospray ionization Fourier‐transform ion cyclotron resonance mass spectrometry (FT‐ICR MS) to identify differences in the molecular compositions of gas and particle phase samples from urban atmosphere. We aimed to identify intrinsic chemical parameters that determine and predict the organic aerosol volatility. We found higher average molecular weights, carbon mass percentages, and double bond equivalents (DBE) but lower average O/C ratios and oxygen mass percentages in the particle phase than the gas phase. We identified DBE, which display a significant negative correlation with volatility, as a key parameter. We proposed to improve the previous model for predicting organic aerosol volatility by incorporating DBE as a new variant; and the result showed that this subsequently improved the accuracy of the model, particularly for compounds with minimal or no heteroatoms (0–2) such as hydrocarbons (CH). The revised model offers insights into the contributions of DBE, carbon, nitrogen, oxygen, and sulfur atoms to the volatilities of diverse organic molecules in aerosols and could be applied to improve our understanding of the phase distributions of volatile organic compounds in the ambient air.

Journal of Geophysical Research AtmospheresVol. 129(21)
Chinese Academy of Sciences (CN), Guangzhou Institute of Geochemistry (CN), Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Alliance of International Science Organizations, Youth Innovation Promotion Association, Basic and Applied Basic Research Foundation of Guangdong Province
Sustainable cities and communities
Openalex Percentile: Top 15%
Atmospheric chemistry and aerosols
1.88
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