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Henry's Law Constants

www.henrys-law.org

Rolf Sander

Atmospheric Chemistry Division

Max-Planck Institute for Chemistry
Mainz, Germany


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Henry's Law Constants

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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 Please do not cite the old paper anymore.


Henry's Law ConstantsOrganic species with oxygen (O)Ketones (RCOR) → 2-heptanone

FORMULA:C7H14O
CAS RN:110-43-0
STRUCTURE
(FROM NIST):
InChIKey:CATSNJVOTSVZJV-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
6.8×10−2 6800 Brockbank (2013) L 1)
7.2×10−2 6800 Plyasunov and Shock (2001) L
5.9×10−2 5300 Falabella et al. (2006) M 11) 340)
6.8×10−2 5700 Chai et al. (2005) M 11)
3.9×10−2 van Ruth et al. (2002) M 14)
4.1×10−2 van Ruth and Villeneuve (2002) M 14) 363)
2.5×10−2 van Ruth et al. (2001) M 14)
6.2×10−2 Kim et al. (2000) M
5.8×10−2 Shiu and Mackay (1997) M
3.7×10−2 Sato and Nakajima (1979a) M 14)
6.8×10−2 Buttery et al. (1969) M
7.5×10−2 Mackay et al. (2006c) V
7.5×10−2 Shiu and Mackay (1997) V
7.5×10−2 Mackay et al. (1995) V
1.8 5600 Djerki and Laub (1988) V
1.7×10−1 Rathbun and Tai (1982) V
7.5×10−2 Yaws (2003) X 259)
7.4×10−2 Yaws (2003) X 238)
3.5×10−1 4500 Janini and Quaddora (1986) X 299)
1.5×10−1 Dupeux et al. (2022) Q 260)
5.3×10−2 Keshavarz et al. (2022) Q
3.2×10−2 Duchowicz et al. (2020) Q 185)
7.8×10−2 Raventos-Duran et al. (2010) Q 244) 272)
3.9×10−2 Raventos-Duran et al. (2010) Q 245)
6.2×10−2 Raventos-Duran et al. (2010) Q 246)
5.1×10−2 Gharagheizi et al. (2010) Q 247)
6.2×10−2 Hilal et al. (2008) Q
1.3×10−1 Modarresi et al. (2007) Q 68)
6900 Kühne et al. (2005) Q
1.2×10−1 Yaffe et al. (2003) Q 249) 273)
6.5×10−2 English and Carroll (2001) Q 231) 275)
2.3×10−2 Katritzky et al. (1998) Q
7.2×10−2 Nirmalakhandan et al. (1997) Q
6.2×10−2 Russell et al. (1992) Q 280)
6.9×10−2 Suzuki et al. (1992) Q 233)
5.8×10−2 Duchowicz et al. (2020) ? 21) 186)
6.8×10−2 Mackay et al. (2006c) ? 21)
6900 Kühne et al. (2005) ?
7.5×10−2 Yaws (1999) ? 21)
7.5×10−2 Yaws et al. (1998) ?
3.9×10−2 Abraham and Weathersby (1994) ? 21)
6.9×10−2 Abraham et al. (1990) ?
1.1×10−1 Mackay and Yeun (1983) ?

Data

The first column contains Henry's law solubility constant Hscp at the reference temperature of 298.15 K.
The second column contains the temperature dependence d ln Hs cp / d (1/T), also at the reference temperature.

References

  • Abraham, M. H. & Weathersby, P. K.: Hydrogen bonding. 30. Solubility of gases and vapors in biological liquids and tissues, J. Pharm. Sci., 83, 1450–1456, doi:10.1002/JPS.2600831017 (1994).
  • 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).
  • Buttery, R. G., Ling, L. C., & Guadagni, D. G.: Volatilities of aldehydes, ketones, and esters in dilute water solutions, J. Agric. Food Chem., 17, 385–389, doi:10.1021/JF60162A025 (1969).
  • Chai, X.-S., Falabella, J. B., & Teja, A. S.: A relative headspace method for Henry’s constants of volatile organic compounds, Fluid Phase Equilib., 231, 239–245, doi:10.1016/J.FLUID.2005.02.006 (2005).
  • Djerki, R. A. & Laub, R. J.: Solute retention in column liquid chromatography. X. Determination of solute infinite-dilution activity coefficients in methanol, water, and their mixtures, by combined gas-liquid and liquid-liquid chromatography, J. Liq. Chromatogr., 11, 585–612, doi:10.1080/01483918808068333 (1988).
  • 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).
  • Dupeux, T., Gaudin, T., Marteau-Roussy, C., Aubry, J.-M., & Nardello-Rataj, V.: COSMO-RS as an effective tool for predicting the physicochemical properties of fragrance raw materials, Flavour Fragrance J., 37, 106–120, doi:10.1002/FFJ.3690 (2022).
  • English, N. J. & Carroll, D. G.: Prediction of Henry’s law constants by a quantitative structure property relationship and neural networks, J. Chem. Inf. Comput. Sci., 41, 1150–1161, doi:10.1021/CI010361D (2001).
  • Falabella, J. B., Nair, A., & Teja, A. S.: Henry’s constants of 1-alkanols and 2-ketones in salt solutions, J. Chem. Eng. Data, 51, 1940–1945, doi:10.1021/JE0600956 (2006).
  • 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).
  • 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).
  • Janini, G. M. & Quaddora, L. A.: Determination of activity coefficients of oxygenated hydrocarbons by liquid-liquid chromatography, J. Liq. Chromatogr., 9, 39–53, doi:10.1080/01483918608076621 (1986).
  • 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).
  • Kim, B. R., Kalis, E. M., DeWulf, T., & Andrews, K. M.: Henry’s Law constants for paint solvents and their implications on volatile organic compound emissions from automotive painting, Water Environ. Res., 72, 65–74, doi:10.2175/106143000X137121 (2000).
  • 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).
  • Mackay, D. & Yeun, A. T. K.: Mass transfer coefficient correlations for volatilization of organic solutes from water, Environ. Sci. Technol., 17, 211–217, doi:10.1021/ES00110A006 (1983).
  • Mackay, D., Shiu, W. Y., & Ma, K. C.: Illustrated Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals, vol. IV of Oxygen, Nitrogen, and Sulfur Containing Compounds, Lewis Publishers, Boca Raton, ISBN 1566700353 (1995).
  • Mackay, D., Shiu, W. Y., Ma, K. C., & Lee, S. C.: Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals, vol. III of Oxygen Containing Compounds, CRC/Taylor & Francis Group, doi:10.1201/9781420044393 (2006c).
  • 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., Brennan, R. A., & Speece, R. E.: Predicting Henry’s law constant and the effect of temperature on Henry’s law constant, Wat. Res., 31, 1471–1481, doi:10.1016/S0043-1354(96)00395-8 (1997).
  • Plyasunov, A. V. & Shock, E. L.: Group contribution values of the infinite dilution thermodynamic functions of hydration for aliphatic noncyclic hydrocarbons, alcohols, and ketones at 298.15 K and 0.1 MPa, J. Chem. Eng. Data, 46, 1016–1019, doi:10.1021/JE0002282 (2001).
  • Rathbun, R. E. & Tai, D. Y.: Volatilization of ketones from water, Water Air Soil Pollut., 17, 281–293, doi:10.1007/BF00283158 (1982).
  • 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).
  • Russell, C. J., Dixon, S. L., & Jurs, P. C.: Computer-assisted study of the relationship between molecular structure and Henry’s law constant, Anal. Chem., 64, 1350–1355, doi:10.1021/AC00037A009 (1992).
  • Sato, A. & Nakajima, T.: Partition coefficients of some aromatic hydrocarbons and ketones in water, blood and oil, Br. J. Ind. Med., 36, 231–234, doi:10.1136/OEM.36.3.231 (1979a).
  • Shiu, W.-Y. & Mackay, D.: Henry’s law constants of selected aromatic hydrocarbons, alcohols, and ketones, J. Chem. Eng. Data, 42, 27–30, doi:10.1021/JE960218U (1997).
  • 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).
  • van Ruth, S. M. & Villeneuve, E.: Influence of β-lactoglobulin, pH and presence of other aroma compounds on the air/liquid partition coefficients of 20 aroma compounds varying in functional group and chain length, Food Chem., 79, 157–164, doi:10.1016/S0308-8146(02)00124-3 (2002).
  • van Ruth, S. M., Grossmann, I., Geary, M., & Delahunty, C. M.: Interactions between artificial saliva and 20 aroma compounds in water and oil model systems, J. Agric. Food Chem., 49, 2409–2413, doi:10.1021/JF001510F (2001).
  • van Ruth, S. M., de Vries, G., Geary, M., & Giannouli, P.: Influence of composition and structure of oil-in-water emulsions on retention of aroma compounds, J. Sci. Food Agric., 82, 1028–1035, doi:10.1002/JSFA.1137 (2002).
  • 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.: Yaws’ Handbook of Thermodynamic and Physical Properties of Chemical Compounds, Knovel: Norwich, NY, USA, ISBN 1591244447 (2003).
  • Yaws, C. L., Sheth, S. D., & Han, M.: Using solubility and Henry’s law constant data for ketones in water, Pollut. Eng., 30, 44–46 (1998).

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.
11) Measured at high temperature and extrapolated to T = 298.15 K.
14) Value at T = 310 K.
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.
185) Value from the validation set for checking whether the model is satisfactory for compounds that are absent from the training set.
186) Experimental value, extracted from HENRYWIN.
231) English and Carroll (2001) provide several calculations. Here, the preferred value with explicit inclusion of hydrogen bonding parameters from a neural network is shown.
233) Calculated with a principal component analysis (PCA); see Suzuki et al. (1992) for details.
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.
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.
259) Value given here as quoted by Dupeux et al. (2022).
260) Calculated using the COSMO-RS method.
272) Value from the validation dataset.
273) Value from the test set.
275) Value from the test dataset.
280) Value from the training set.
299) Value given here as quoted by Staudinger and Roberts (1996).
340) Values for salt solutions are also available from this reference.
363) Effective Henry's law constants at several pH values are provided by van Ruth and Villeneuve (2002). Here, only the value at pH = 3 is shown.

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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