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 Please do not cite the old paper anymore.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: | C6H14O |
CAS RN: | 108-11-2 |
STRUCTURE
(FROM
NIST):
|
|
InChIKey: | WVYWICLMDOOCFB-UHFFFAOYSA-N |
|
|
References |
Type |
Notes |
[mol/(m3Pa)] |
[K] |
|
|
|
2.2×10−1 |
7300 |
Brockbank (2013) |
L |
1)
|
3.5×10−1 |
|
Plyasunov and Shock (2000) |
L |
|
2.1×10−1 |
|
Meylan and Howard (1991) |
V |
|
2.2×10−1 |
|
Hine and Mookerjee (1975) |
V |
|
2.1×10−1 |
|
Keshavarz et al. (2022) |
Q |
|
2.1×10−1 |
|
Duchowicz et al. (2020) |
Q |
|
1.7×10−1 |
|
Wang et al. (2017) |
Q |
81)
239)
|
5.6×10−1 |
|
Wang et al. (2017) |
Q |
81)
240)
|
4.7×10−1 |
|
Wang et al. (2017) |
Q |
81)
241)
|
4.9×10−1 |
|
Raventos-Duran et al. (2010) |
Q |
243)
244)
|
3.1×10−1 |
|
Raventos-Duran et al. (2010) |
Q |
245)
|
6.2×10−1 |
|
Raventos-Duran et al. (2010) |
Q |
246)
|
2.6×10−1 |
|
Hilal et al. (2008) |
Q |
|
2.8×10−1 |
|
Modarresi et al. (2007) |
Q |
68)
|
|
7900 |
Kühne et al. (2005) |
Q |
|
2.3×10−1 |
|
Yaffe et al. (2003) |
Q |
249)
250)
|
5.3×10−1 |
|
Katritzky et al. (1998) |
Q |
|
1.9×10−1 |
|
Yaws et al. (1997) |
Q |
|
4.0×10−1 |
|
Suzuki et al. (1992) |
Q |
233)
|
5.6×10−1 |
|
Meylan and Howard (1991) |
Q |
|
4.8×10−1 |
|
Nirmalakhandan and Speece (1988) |
Q |
|
2.2×10−1 |
|
Duchowicz et al. (2020) |
? |
21)
186)
|
|
8700 |
Kühne et al. (2005) |
? |
|
2.1×10−1 |
|
Yaws (1999) |
? |
21)
404)
|
2.2×10−1 |
|
Abraham et al. (1990) |
? |
|
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
-
Abraham, M. H., Whiting, G. S., Fuchs, R., & Chambers, E. J.: Thermodynamics of solute transfer from water to hexadecane, J. Chem. Soc. Perkin Trans. 2, pp. 291–300, doi:10.1039/P29900000291 (1990).
-
Brockbank, S. A.: Aqueous Henry’s law constants, infinite dilution activity coefficients, and water solubility: critically evaluated database, experimental analysis, and prediction methods, Ph.D. thesis, Brigham Young University, USA, URL https://scholarsarchive.byu.edu/etd/3691/ (2013).
-
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).
-
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).
-
Hine, J. & Mookerjee, P. K.: The intrinsic hydrophilic character of organic compounds. Correlations in terms of structural contributions, J. Org. Chem., 40, 292–298, doi:10.1021/JO00891A006 (1975).
-
Katritzky, A. R., Wang, Y., Sild, S., Tamm, T., & Karelson, M.: QSPR studies on vapor pressure, aqueous solubility, and the prediction of water-air partition coefficients, J. Chem. Inf. Comput. Sci., 38, 720–725, doi:10.1021/CI980022T (1998).
-
Keshavarz, M. H., Rezaei, M., & Hosseini, S. H.: A simple approach for prediction of Henry’s law constant of pesticides, solvents, aromatic hydrocarbons, and persistent pollutants without using complex computer codes and descriptors, Process Saf. Environ. Prot., 162, 867–877, doi:10.1016/J.PSEP.2022.04.045 (2022).
-
Kühne, R., Ebert, R.-U., & Schüürmann, G.: Prediction of the temperature dependency of Henry’s law constant from chemical structure, Environ. Sci. Technol., 39, 6705–6711, doi:10.1021/ES050527H (2005).
-
Meylan, W. M. & Howard, P. H.: Bond contribution method for estimating Henry’s law constants, Environ. Toxicol. Chem., 10, 1283–1293, doi:10.1002/ETC.5620101007 (1991).
-
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).
-
Nirmalakhandan, N. N. & Speece, R. E.: QSAR model for predicting Henry’s constant, Environ. Sci. Technol., 22, 1349–1357, doi:10.1021/ES00176A016 (1988).
-
Plyasunov, A. V. & Shock, E. L.: Thermodynamic functions of hydration of hydrocarbons at 298.15K and 0.1MPa, Geochim. Cosmochim. Acta, 64, 439–468, doi:10.1016/S0016-7037(99)00330-0 (2000).
-
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).
-
Suzuki, T., Ohtaguchi, K., & Koide, K.: Application of principal components analysis to calculate Henry’s constant from molecular structure, Comput. Chem., 16, 41–52, doi:10.1016/0097-8485(92)85007-L (1992).
-
Wang, C., Yuan, T., Wood, S. A., Goss, K.-U., Li, J., Ying, Q., & Wania, F.: Uncertain Henry’s law constants compromise equilibrium partitioning calculations of atmospheric oxidation products, Atmos. Chem. Phys., 17, 7529–7540, doi:10.5194/ACP-17-7529-2017 (2017).
-
Yaffe, D., Cohen, Y., Espinosa, G., Arenas, A., & Giralt, F.: A fuzzy ARTMAP-based quantitative structure-property relationship (QSPR) for the Henry’s law constant of organic compounds, J. Chem. Inf. Comput. Sci., 43, 85–112, doi:10.1021/CI025561J (2003).
-
Yaws, C. L.: Chemical Properties Handbook, McGraw-Hill, Inc., ISBN 0070734011 (1999).
-
Yaws, C. L., Hopper, J. R., Sheth, S. D., Han, M., & Pike, R. W.: Solubility and Henry’s law constant for alcohols in water, Waste Manage., 17, 541–547, doi:10.1016/S0956-053X(97)10057-5 (1997).
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
1) |
A detailed temperature dependence with more than one parameter is available in the original publication. Here, only the temperature dependence at 298.15 K according to the van 't Hoff equation is presented. |
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. |
81) |
Value at T = 288 K. |
186) |
Experimental value, extracted from HENRYWIN. |
233) |
Calculated with a principal component analysis (PCA); see Suzuki et al. (1992) for details. |
239) |
Calculated using linear free energy relationships (LFERs). |
240) |
Calculated using SPARC Performs Automated Reasoning in Chemistry (SPARC). |
241) |
Calculated using COSMOtherm. |
243) |
Value from the training dataset. |
244) |
Calculated using the GROMHE model. |
245) |
Calculated using the SPARC approach. |
246) |
Calculated using the HENRYWIN method. |
249) |
Yaffe et al. (2003) present QSPR results calculated with the fuzzy ARTMAP (FAM) and with the back-propagation (BK-Pr) method. They conclude that FAM is better. Only the FAM results are shown here. |
250) |
Value from the training set. |
404) |
Value at T = 300 K. |
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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