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Investigation on the Volatility of Ammonium Nitrate Using Optical Tweezers |
Lü Xi-juan, GAO Xiao-yan, MA Jia-bi*, ZHANG Yun-hong* |
Institute of Chemical Physics, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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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.
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Received: 2018-03-30
Accepted: 2018-08-05
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Corresponding Authors:
MA Jia-bi, ZHANG Yun-hong
E-mail: majiabi@bit.edu.cn;yhz@bit.edu.cn
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[1] Bouwman A F, Lee D S, Asman W A H, et al. Global Biogeochemical Cycles, 1997,11(4): 561.
[2] Renard J J, Calidonna S E, Henley M V. Journal of Hazardous Materials B, 2004,108(1-2): 29.
[3] James M, Lightstone T B O, Dan Imre. Journal of Physical Chemistry A, 2000,104(41):9337.
[4] Hu Dawei, Chen Jianmin, Ye Xingnan, et al. Atmospheric Environment, 2011,45(14): 2349.
[5] Chien Wen-ming, Chandra Dhanesh, Lau K H, et al. The Journal of Chemical Thermodynamics, 2010,42(7): 846.
[6] Hong J, Äijälä Mikko, Hme S A K, et al. Atmospheric Chemistry and Physics, 2017,17(6): 4387.
[7] Zardini A A, Krieger U K. Optics Express, 2009, 17(6): 4659.
[8] Cai C, Stewart D J, Reid J P, et al. Journal of Physical Chemistry A, 2015,119(4): 704.
[9] Wang L N, Cai C,Zhang Y H. Journal of Physical Chemistry B, 2017,121(36): 8551.
[10] Cai C, Tan S, Chen H, et al. Physical Chemistry Chemical Physics, 2015, 17(44): 29753.
[11] Preston T C,Reid J P. Journal of the Optical Society of America B, 2013,30(8): 2113.
[12] Miles R E, Walker J S, Burnham D R, et al. Physical Chemistry Chemical Physics, 2012,14(9): 3037.
[13] Marshall F H, Miles R E H, Song Y C, et al. Chemical Science, 2016, 7(2): 1298.
[14] Xue H, Moyle A M, Magee N, et al. Journal of the Atmospheric Sciences, 2005, 62(12): 4310.
[15] Massman W J. Atmospheric Environment, 1998,32(6): 1111.
[16] Huffman J A, Docherty K S, Aiken A C, et al. Atmospheric Chemistry and Physics Discussions, 2009,9(1): 2645. |
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