When referring to the compilation of Henry's Law Constants, please cite
this publication:
R. Sander: Compilation of Henry's law constants (version 5.0.0) for
water as solvent, Atmos. Chem. Phys., 23, 10901-12440 (2023),
doi:10.5194/acp-23-10901-2023
The publication from 2023 replaces that from 2015,
which is now obsolete. Please do not cite the old paper anymore.
|
FORMULA: | C11H20O2 |
TRIVIAL NAME:
|
2-ethylhexyl acrylate
|
CAS RN: | 103-11-7 |
STRUCTURE
(FROM
NIST):
|
|
InChIKey: | GOXQRTZXKQZDDN-UHFFFAOYSA-N |
|
|
References |
Type |
Notes |
[mol/(m3Pa)] |
[K] |
|
|
|
2.3×10−2 |
|
Duchowicz et al. (2020) |
V |
187)
|
2.3×10−2 |
|
HSDB (2015) |
V |
|
2.7×10−2 |
|
Yaws (2003) |
X |
73)
238)
|
1.3×10−1 |
|
Duchowicz et al. (2020) |
Q |
|
6.2×10−3 |
|
Gharagheizi et al. (2012) |
Q |
|
7.8×10−3 |
|
Raventos-Duran et al. (2010) |
Q |
244)
272)
|
1.2×10−2 |
|
Raventos-Duran et al. (2010) |
Q |
245)
|
1.6×10−2 |
|
Raventos-Duran et al. (2010) |
Q |
246)
|
2.8×10−2 |
|
Gharagheizi et al. (2010) |
Q |
247)
|
1.2×10−2 |
|
Hilal et al. (2008) |
Q |
|
2.2×10−2 |
|
Modarresi et al. (2007) |
Q |
68)
|
2.0×10−2 |
|
Yao et al. (2002) |
Q |
230)
|
2.3×10−2 |
|
Yaws (1999) |
? |
21)
73)
|
Data
The first column contains Henry's law solubility constant
at the reference temperature of 298.15 K.
The second column contains the temperature dependence
, also at the
reference temperature.
References
-
Duchowicz, P. R., Aranda, J. F., Bacelo, D. E., & Fioressi, S. E.: QSPR study of the Henry’s law constant for heterogeneous compounds, Chem. Eng. Res. Des., 154, 115–121, doi:10.1016/J.CHERD.2019.12.009 (2020).
-
Gharagheizi, F., Abbasi, R., & Tirandazi, B.: Prediction of Henry’s law constant of organic compounds in water from a new group-contribution-based model, Ind. Eng. Chem. Res., 49, 10 149–10 152, doi:10.1021/IE101532E (2010).
-
Gharagheizi, F., Eslamimanesh, A., Mohammadi, A. H., & Richon, D.: Empirical method for estimation of Henry’s law constant of non-electrolyte organic compounds in water, J. Chem. Thermodyn., 47, 295–299, doi:10.1016/J.JCT.2011.11.015 (2012).
-
Hilal, S. H., Ayyampalayam, S. N., & Carreira, L. A.: Air-liquid partition coefficient for a diverse set of organic compounds: Henry’s law constant in water and hexadecane, Environ. Sci. Technol., 42, 9231–9236, doi:10.1021/ES8005783 (2008).
-
HSDB: Hazardous Substances Data Bank, TOXicology data NETwork (TOXNET), National Library of Medicine (US), URL https://www.nlm.nih.gov/toxnet/Accessing_HSDB_Content_from_PubChem.html (2015).
-
Modarresi, H., Modarress, H., & Dearden, J. C.: QSPR model of Henry’s law constant for a diverse set of organic chemicals based on genetic algorithm-radial basis function network approach, Chemosphere, 66, 2067–2076, doi:10.1016/J.CHEMOSPHERE.2006.09.049 (2007).
-
Raventos-Duran, T., Camredon, M., Valorso, R., Mouchel-Vallon, C., & Aumont, B.: Structure-activity relationships to estimate the effective Henry’s law constants of organics of atmospheric interest, Atmos. Chem. Phys., 10, 7643–7654, doi:10.5194/ACP-10-7643-2010 (2010).
-
Yao, X., aand X. Zhang, M. L., Hu, Z., & Fan, B.: Radial basis function network-based quantitative structure-property relationship for the prediction of Henry’s law constant, Anal. Chim. Acta, 462, 101–117, doi:10.1016/S0003-2670(02)00273-8 (2002).
-
Yaws, C. L.: Chemical Properties Handbook, McGraw-Hill, Inc., ISBN 0070734011 (1999).
-
Yaws, C. L.: Yaws’ Handbook of Thermodynamic and Physical Properties of Chemical Compounds, Knovel: Norwich, NY, USA, ISBN 1591244447 (2003).
Type
Table entries are sorted according to reliability of the data, listing
the most reliable type first: L) literature review, M) measured, V)
VP/AS = vapor pressure/aqueous solubility, R) recalculation, T)
thermodynamical calculation, X) original paper not available, C)
citation, Q) QSPR, E) estimate, ?) unknown, W) wrong. See Section 3.1
of Sander (2023) for further details.
Notes
21) |
Several references are given in the list of Henry's law constants but not assigned to specific species. |
68) |
Modarresi et al. (2007) use different descriptors for their calculations. They conclude that a genetic algorithm/radial basis function network (GA/RBFN) is the best QSPR model. Only these results are shown here. |
73) |
Value at T = 296 K. |
187) |
Estimation based on the quotient between vapor pressure and water solubility, extracted from HENRYWIN. |
230) |
Yao et al. (2002) compared two QSPR methods and found that radial basis function networks (RBFNs) are better than multiple linear regression. In their paper, they provide neither a definition nor the unit of their Henry's law constants. Comparing the values with those that they cite from Yaws (1999), it is assumed that they use the variant Hvpx and the unit atm. |
238) |
Value given here as quoted by Gharagheizi et al. (2010). |
244) |
Calculated using the GROMHE model. |
245) |
Calculated using the SPARC approach. |
246) |
Calculated using the HENRYWIN method. |
247) |
Calculated using a combination of a group contribution method and neural networks. |
272) |
Value from the validation dataset. |
The numbers of the notes are the same as
in Sander (2023). References cited in the notes can be
found here.
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