• Spectroscopy and Spectral Analysis
  • Vol. 39, Issue 5, 1648 (2019)
L Xi-juan*, GAO Xiao-yan, MA Jia-bi, and ZHANG Yun-hong
Author Affiliations
  • [in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2019)05-1648-05 Cite this Article
    L Xi-juan, GAO Xiao-yan, MA Jia-bi, ZHANG Yun-hong. Investigation on the Volatility of Ammonium Nitrate Using Optical Tweezers[J]. Spectroscopy and Spectral Analysis, 2019, 39(5): 1648 Copy Citation Text show less

    Abstract

    Measurements of the particle-to-gas partitioning of semi-volatile atmospheric aerosols are crucial for providing more accurate descriptions of the compositional and size distributions of atmospheric aerosol. As a major component of semi-volatile aerosol species, ammonium nitrate (NH4NO3) is ubiquitous in the sub-micron particulate matter, particularly in high pollution episodes. In order to further understand gas-particle partitioning of NH4NO3, determination of the saturated vapor pressure of NH4NO3 is needed. Here, we investigate the volatility of NH4NO3 at different relative humidities (RHs) using aerosol optical tweezers coupled with Raman spectroscopy as an instrument for sampling and detecting. According to the Maxwell equation, the vapor pressures at different RHs are calculated, and the values are (1.67±0.24)×10-3, (1.82±0.19)×10-3, (2.91±0.13)×10-3, (3.5±0.28)×10-3, (4.59±0.22)×10-3 and (6.64±0.3)×10-3 Pa, when the RH is 80%, 73%, 68%, 57.3%, 55.4%, 44.8% respectively. Obviously, the vapor pressures of NH4NO3 increase with RH decreasing, i.e. low RH promotes the evaporation of ammonium nitrate. Additionally, we also calculate the volatilizing flux of NH4NO3 at different RHs, and the values are in the range of (4.01±0.79)×10-7~(3.32±0.77)×10-8 mol·(s·m2)-1. The results obtained herein are of important significance in understanding the partitioning processes of semi-volatile aerosols.
    L Xi-juan, GAO Xiao-yan, MA Jia-bi, ZHANG Yun-hong. Investigation on the Volatility of Ammonium Nitrate Using Optical Tweezers[J]. Spectroscopy and Spectral Analysis, 2019, 39(5): 1648
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