Cross-phase partitioning of sulfur-nitrogen ratios and aerosol mixing-state evolution based on single-particle observations

Dai, Yuan; Wang, Junfeng; Chen, Mindong; Zhang, Su; Li, Haiwei; Zhang, Yunjiang; Wu, Yun; Wang, Ming; Ge, Xinlei

doi:10.5194/acp-26-14015-2026

Articles | Volume 26, issue 19

https://doi.org/10.5194/acp-26-14015-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-26-14015-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 19

Research article

|

06 Oct 2026

Research article |

| 06 Oct 2026

Cross-phase partitioning of sulfur-nitrogen ratios and aerosol mixing-state evolution based on single-particle observations

Yuan Dai, Junfeng Wang, Mindong Chen, Su Zhang, Haiwei Li, Yunjiang Zhang, Yun Wu, Ming Wang, and Xinlei Ge

Supplement

https://doi.org/10.5194/acp-26-14015-2026-supplement

Data sets

Datasets for cross-phase sulfur–nitrogen partitioning and aerosol mixing-state evolution in an urban atmosphere Yuan Dai https://doi.org/10.6084/m9.figshare.32618274

Download

Article (5711 KB)
Full-text XML

Short summary

Air pollution involves complex interactions between airborne particles and gases, but these links are not fully understood. We analyzed individual particles and gases across different emission levels. We found that relative sulfur and nitrogen levels influence how gases interact with particles and alter their properties. These processes vary by particle type and humidity, helping explain how pollution forms and evolves. Our findings provide new evidence for particle-gas interactions.