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Henry's Law Constants

www.henrys-law.org

Rolf Sander

NEW: Version 5.0.0 has been published in October 2023

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 Please do not cite the old paper anymore.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 Constants → Organic species with chlorine (Cl) → Chlorocarbons (C, H, Cl) → hexachlorobutadiene

FORMULA:CCl2CClCClCCl2
CAS RN:87-68-3
STRUCTURE
(FROM NIST):
InChIKey:RWNKSTSCBHKHTB-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
5.6×10−4 5500 Brockbank (2013) L
8.3×10−4 3100 Fogg and Sangster (2003) L
2.3×10−3 6200 Hiatt (2013) M
6.2×10−4 4900 Dewulf et al. (1999) M
7.0×10−4 2500 Kondoh and Nakajima (1997) M
2.3×10−3 Oliver (1985) M
9.6×10−4 Warner et al. (1980) M
4.0×10−4 Pearson and McConnell (1975) M 12) 651)
6.1×10−4 Mackay et al. (2006b) V
6.5×10−4 Mackay et al. (1993) V
9.1×10−4 Ballschmiter and Wittlinger (1991) V
3.8×10−4 Warner et al. (1980) V
4.2×10−4 Yaws (2003) X 238)
9.8×10−4 4600 Goldstein (1982) X 299)
9.7×10−4 Hilal et al. (2008) C
9.6×10−4 Horvath and Getzen (1999) C
9.4×10−4 Ryan et al. (1988) C
9.6×10−4 Shen (1982) C
9.0×10−4 Zhang et al. (2010) Q 288) 289)
5.0×10−4 Zhang et al. (2010) Q 288) 290)
2.3×10−3 Zhang et al. (2010) Q 288) 291)
1.7×10−2 Zhang et al. (2010) Q 288) 292)
4.3×10−4 Gharagheizi et al. (2010) Q 247)
6.2×10−4 Hilal et al. (2008) Q
7.6×10−3 Modarresi et al. (2007) Q 68)
5300 Kühne et al. (2005) Q
2.7×10−4 Yao et al. (2002) Q 230)
3500 Kühne et al. (2005) ?
4.2×10−4 Yaws (1999) ? 21)

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

  • Ballschmiter, K. & Wittlinger, R.: Interhemisphere exchange of hexachlorocyclohexanes, hexachlorobenzene, polychlorobiphenyls, and 1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane in the lower troposphere, Environ. Sci. Technol., 25, 1103–1111, doi:10.1021/ES00018A014 (1991).
  • 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).
  • Dewulf, J., van Langenhove, H., & Everaert, P.: Determination of Henry’s law coefficients by combination of the equilibrium partitioning in closed systems and solid-phase microextraction techniques, J. Chromatogr. A, 830, 353–363, doi:10.1016/S0021-9673(98)00877-2 (1999).
  • Fogg, P. & Sangster, J.: Chemicals in the Atmosphere: Solubility, Sources and Reactivity, John Wiley & Sons, Inc., ISBN 978-0-471-98651-5 (2003).
  • 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).
  • Goldstein, D. J.: Air and steam stripping of toxic pollutants, Appendix 3: Henry’s law constants, Tech. Rep. EPA-68-03-002, Industrial Environmental Research Laboratory, Cincinnati, OH, USA (1982).
  • Hiatt, M. H.: Determination of Henry’s law constants using internal standards with benchmark values, J. Chem. Eng. Data, 58, 902–908, doi:10.1021/JE3010535 (2013).
  • 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).
  • Horvath, A. L. & Getzen, F. W.: IUPAC-NIST Solubility Data Series 68. Halogenated Aliphatic Hydrocarbon Compounds C3-C14, J. Phys. Chem. Ref. Data, 28, 649–777, doi:10.1063/1.556051 (1999).
  • Kondoh, H. & Nakajima, T.: Optimization of headspace cryofocus gas chromatography/mass spectrometry for the analysis of 54 volatile organic compounds, and the measurement of their Henry’s constants, J. Environ. Chem., 7, 81–89, doi:10.5985/JEC.7.81 (1997).
  • 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., Shiu, W. Y., & Ma, K. C.: Illustrated Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals, vol. III of Volatile Organic Chemicals, Lewis Publishers, Boca Raton, ISBN 0873719735 (1993).
  • Mackay, D., Shiu, W. Y., Ma, K. C., & Lee, S. C.: Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals, vol. II of Halogenated Hydrocarbons, CRC/Taylor & Francis Group, doi:10.1201/9781420044393 (2006b).
  • 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).
  • Oliver, B. G.: Desorption of chlorinated hydrocarbons from spiked and anthropogenically contaminated sediments, Chemosphere, 14, 1087–1106, doi:10.1016/0045-6535(85)90029-3 (1985).
  • Pearson, C. R. & McConnell, G.: Chlorinated C1 and C2 hydrocarbons in the marine environment, Proc. R. Soc. Lond. B, 189, 305–332, doi:10.1098/RSPB.1975.0059 (1975).
  • Ryan, J. A., Bell, R. M., Davidson, J. M., & O’Connor, G. A.: Plant uptake of non-ionic organic chemicals from soils, Chemosphere, 17, 2299–2323, doi:10.1016/0045-6535(88)90142-7 (1988).
  • Shen, T. T.: Estimation of organic compound emissions from waste lagoons, J. Air Pollut. Control Assoc., 32, 79–82, doi:10.1080/00022470.1982.10465374 (1982).
  • Warner, H. P., Cohen, J. M., & Ireland, J. C.: Determination of Henry’s law constants of selected priority pollutants, Tech. rep., U.S. EPA, Municipal Environmental Research Laboratory, Wastewater Research Division, Cincinnati, Ohio, 45268, USA (1980).
  • 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).
  • Zhang, X., Brown, T. N., Wania, F., Heimstad, E. S., & Goss, K.-U.: Assessment of chemical screening outcomes based on different partitioning property estimation methods, Environ. Int., 36, 514–520, doi:10.1016/J.ENVINT.2010.03.010 (2010).

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

12) Value at T = 293 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.
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).
247) Calculated using a combination of a group contribution method and neural networks.
288) Data taken from the supplement.
289) Calculated using the EPI Suite (v4.0) method.
290) Calculated using the SPARC (v4.2) method.
291) Calculated using the COSMOtherm (v2.1) method.
292) Calculated using the ABSOLV (ADMEBoxes v4.1) method.
299) Value given here as quoted by Staudinger and Roberts (1996).
651) The same data were also published in McConnell et al. (1975).

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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