Measuring and Modeling the Salting-out Effect in Ammonium Sulfate Solutions

被引:51
|
作者
Wang, Chen [1 ,2 ]
Lei, Ying Duan [1 ,2 ]
Endo, Satoshi [3 ]
Wania, Frank [1 ,2 ]
机构
[1] Univ Toronto, Dept Chem, Toronto, ON M1C 1A4, Canada
[2] Univ Toronto, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada
[3] UFZ Helmholtz Ctr Environm Res, Dept Analyt Environm Chem, D-04318 Leipzig, Germany
基金
加拿大自然科学与工程研究理事会;
关键词
SECONDARY ORGANIC AEROSOL; AQUEOUS SOLUBILITY; ACTIVITY-COEFFICIENTS; CHLOROBENZENES; TEMPERATURE; PARTICLES; CHEMISTRY; BEHAVIOR; GLYOXAL;
D O I
10.1021/es5035602
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The presence of inorganic salts significantly influences the partitioning behavior of organic compounds between environmentally relevant aqueous phases, such as seawater or aqueous aerosol, and other, nonaqueous phases (gas phase, organic phase, etc.). In this study, salting-out coefficients (or Setschenow constants) (KS [M-1]) for 38 diverse neutral compounds in ammonium sulfate ((NH4)(2)SO4) solutions were measured using a shared headspace passive dosing method and a negligible depletion solid phase microextraction technique. The measured KS were all positive, varied from 0.216 to 0.729, and had standard errors in the range of 0.006-0.060. Compared to KS for sodium chloride (NaCl) in the literature, KS values for (NH4)(2)SO4 are always higher for the same compound, suggesting a higher salting-out effect of (NH4)(2)SO4. A polyparameter linear free energy relationship (pp-LFER) for predicting KS in (NH4)(2)SO4 solutions was generated using the experimental data for calibration. pp-LFER predicted KS agreed well with measured KS reported in the literature. KS for (NH4)(2)SO4 was also predicted using the quantum-chemical COSMOtherm software and the thermodynamic model AIOMFAC. While COSMOtherm generally overpredicted the experimental KS, predicted and experimental values were correlated. Therefore, a fitting factor needs to be applied when using the current version of COSMOtherm to predict KS. AIOMFAC tends to underpredict the measured KS((NH4)(2)SO4) but always overpredicts KS(NaCl). The prediction error is generally larger for KS(NaCl) than for KS((NH4)(2)SO4). AIOMFAC also predicted a dependence of KS on the salt concentrations, which is not observed in the experimental data. In order to demonstrate that the models developed and calibrated in this study can be applied to estimate Setschenow coefficients for atmospherically relevant compounds involved in secondary organic aerosol formation based on chemical structure alone, we predicted and compared KS for selected a-pinene oxidation products.
引用
收藏
页码:13238 / 13245
页数:8
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