GSTDTAP  > 地球科学
DOI10.5194/acp-19-10073-2019
Predictions of diffusion rates of large organic molecules in secondary organic aerosols using the Stokes-Einstein and fractional Stokes-Einstein relations
Eyoy, Erin1; Maclean, Adrian M.1; Royelli, Grazia2,8; Li, Ying3; Tsimpidi, Alexandra P.4,5; Karydis, Vlassis A.4,6; Kamal, Saeid1; Lelieveld, Jos4,7; Shiraiwa, Manabu3; Reid, Jonathan P.2; Bertram, Allan K.1
2019-08-09
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2019
卷号19期号:15页码:10073-10085
文章类型Article
语种英语
国家Canada; England; USA; Germany; Greece; Cyprus
英文摘要

Information on the rate of diffusion of organic molecules within secondary organic aerosol (SOA) is needed to accurately predict the effects of SOA on climate and air quality. Diffusion can be important for predicting the growth, evaporation, and reaction rates of SOA under certain atmospheric conditions. Often, researchers have predicted diffusion rates of organic molecules within SOA using measurements of viscosity and the Stokes-Einstein relation (D proportional to 1/eta, where D is the diffusion coefficient and eta is viscosity). However, the accuracy of this relation for predicting diffusion in SOA remains uncertain. Using rectangular area fluorescence recovery after photobleaching (rFRAP), we determined diffusion coefficients of fluorescent organic molecules over 8 orders in magnitude in proxies of SOA including citric acid, sorbitol, and a sucrose-citric acid mixture. These results were combined with literature data to evaluate the Stokes-Einstein relation for predicting the diffusion of organic molecules in SOA. Although almost all the data agree with the Stokes-Einstein relation within a factor of 10, a fractional Stokes-Einstein relation (D proportional to 1/eta(xi)) with xi = 0.93 is a better model for predicting the diffusion of organic molecules in the SOA proxies studied. In addition, based on the output from a chemical transport model, the Stokes-Einstein relation can overpredict mixing times of organic molecules within SOA by as much as 1 order of magnitude at an altitude of similar to 3 km compared to the fractional Stokes-Einstein relation with xi = 0.93. These results also have implications for other areas such as in food sciences and the preservation of biomolecules.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000480315800006
WOS关键词LONG-RANGE TRANSPORT ; ALPHA-PINENE ; PHASE STATE ; KINETIC LIMITATIONS ; FUNCTIONAL-GROUPS ; GLASS-TRANSITION ; WATER DIFFUSION ; REACTIVE UPTAKE ; MIXING TIMES ; GAS-PHASE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/185936
专题地球科学
作者单位1.Univ British Columbia, Dept Chem, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada;
2.Univ Bristol, Sch Chem, Bristol BS8 1TS, Avon, England;
3.Univ Calif Irvine, Dept Chem, Irvine, CA 92697 USA;
4.Max Planck Inst Chem, Atmospher Chem Dept, D-55128 Mainz, Germany;
5.Natl Observ Athens, Inst Environm Res & Sustainable Dev, Palea Penteli 15236, Greece;
6.Forschungszentrum Julich, Inst Energy & Climate Res, IEK 8, D-52425 Julich, Germany;
7.Cyprus Inst, Energy Environm & Water Res Ctr, CY-1645 Nicosia, Cyprus;
8.Lawrence Berkeley Natl Lab, Chem Sci Div, Berkeley, CA 94611 USA
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GB/T 7714
Eyoy, Erin,Maclean, Adrian M.,Royelli, Grazia,et al. Predictions of diffusion rates of large organic molecules in secondary organic aerosols using the Stokes-Einstein and fractional Stokes-Einstein relations[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(15):10073-10085.
APA Eyoy, Erin.,Maclean, Adrian M..,Royelli, Grazia.,Li, Ying.,Tsimpidi, Alexandra P..,...&Bertram, Allan K..(2019).Predictions of diffusion rates of large organic molecules in secondary organic aerosols using the Stokes-Einstein and fractional Stokes-Einstein relations.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(15),10073-10085.
MLA Eyoy, Erin,et al."Predictions of diffusion rates of large organic molecules in secondary organic aerosols using the Stokes-Einstein and fractional Stokes-Einstein relations".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.15(2019):10073-10085.
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