Preprints
https://doi.org/10.5194/acp-2022-666
https://doi.org/10.5194/acp-2022-666
 
18 Oct 2022
18 Oct 2022
Status: this preprint is currently under review for the journal ACP.

Atmospheric nanoparticles hygroscopic growth measurement by combined surface plasmon resonance microscope and hygroscopic-tandem differential mobility analyzer

Zhibo Xie1,2,3, Jiaoshi Zhang1,a, Huaqiao Gui1,3, Yang Liu4, Bo Yang1, Haosheng Dai1, Hang Xiao2,3, Douguo Zhang4, Da-Ren Chen5, and Jianguo Liu1,2,3 Zhibo Xie et al.
  • 1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
  • 2Innovation excellence center for urban atmospheric environment of CAS, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
  • 3University of Chinese Academy of Sciences, Beijing, 100049, China
  • 4Institute of Photonics, Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 5Particle Laboratory, Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, Ruchmond, VA 23284
  • anow at: Center for Aerosol Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA

Abstract. The hygroscopic growth of atmospheric aerosols plays an important role in regional radiation, cloud formation and hence climate. Aerosol hygroscopic growth is often characterized by humidified tandem differential mobility analyzers (HTDMA), and Xie et al. (2020) recently demonstrated that hygroscopic growth measurements of single-particle are possible using a surface plasmon resonance microscope-azimuthal rotation illumination (SPRM-ARI). The hygroscopic properties of ambient aerosols are not uniform and often exhibit large RH and size variabilities, due to different chemical compositions and mixing states. To better understand the contribution of different aerosol components and establish the link between the apparent hygroscopic properties of bulk aerosols and single-particle, we conduct combined hygroscopic growth measurements of single-particle by a SPRM-ARI and bulk particles by an HTDMA. The atmospheric nanoparticles were grouped into four subgroups labeled as EC, fly ash, OC and AS+OC based on the energy dispersive spectroscope results (Experimental information: 100 nm~200 nm, at noon, September 28th, 2021 and March 22th, 2022 in Hefei China). The relationship between the chemical composition of a single nanoparticle in each subgroup and its hygroscopicity was characterized using SPRM-ARI. Then, the HTDMA data were shown to be fitted and reconstructed by the constitutive particle size distributions calculated by the SPRM-ARI measured GFs (growth factor), and the percentage of four subgroups in atmospheric particles could also be found through the fitting. Based on the test results, we found the OC content of AS+OC nanoparticles increased with the increase of particle size, and the OC condensation may play a promoting role in the particle growth process. Lastly, this fitting reconstruction method has a good correlation with the quantitative results of membrane sampling, and can be used for reference to analyze the contribution of particle hygroscopicity and the growth mechanism of nanoparticle.

Zhibo Xie et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-666', Anonymous Referee #1, 18 Nov 2022
  • RC2: 'Comment on acp-2022-666', Anonymous Referee #2, 25 Nov 2022

Zhibo Xie et al.

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Short summary
The hygroscopic growth of single nanoparticles is important for hygroscopic characteristics analysis of atmospheric particles, and for the scientific studies involving atmospheric particles. Based on the hygroscopicity difference of subgroups atmospheric nanoparticles, the classification and proportion analysis of atmospheric nanoparticles have been completed, which has potential significance in predicting the contribution of atmospheric particulate hygroscopicity and particle growth mechanism.
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