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 Please do not cite the old paper anymore.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

FORMULA:C2Cl6
CAS RN:67-72-1
STRUCTURE
(FROM NIST):
InChIKey:VHHHONWQHHHLTI-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
2.7×10−3 5700 Burkholder et al. (2019) L
2.6×10−3 5600 Burkholder et al. (2015) L
2.8×10−3 6100 Brockbank (2013) L
2.5×10−3 5600 Staudinger and Roberts (1996) L
1.2×10−3 2600 Ashworth et al. (1988) M 33) 279)
2.5×10−3 5600 Munz and Roberts (1987) M
3.4×10−3 Munz and Roberts (1986) M
1.0×10−3 Warner et al. (1980) M
4.2×10−3 Mackay et al. (2006b) V
3.6×10−3 Lide and Frederikse (1995) V
1.5×10−2 Hwang et al. (1992) V
2.2×10−4 Ballschmiter and Wittlinger (1991) V
7.7×10−4 Mackay and Shiu (1981) V
8.1×10−3 Dilling (1977) V
4.3×10−3 Hine and Mookerjee (1975) V
3.9×10−4 Yaws (2003) X 238)
1.0×10−3 2100 Goldstein (1982) X 299)
9.8×10−4 Ryan et al. (1988) C
1.0×10−3 Shen (1982) C
7.3×10−4 Keshavarz et al. (2022) Q
2.5×10−3 Duchowicz et al. (2020) Q
2.4×10−3 Zhang et al. (2010) Q 288) 289)
1.8×10−3 Zhang et al. (2010) Q 288) 290)
1.9×10−3 Zhang et al. (2010) Q 288) 291)
3.9×10−3 Zhang et al. (2010) Q 288) 292)
3.7×10−4 Gharagheizi et al. (2010) Q 247)
3.9×10−3 Hilal et al. (2008) Q
9.3×10−4 Modarresi et al. (2007) Q 68)
8.0×10−4 Yaffe et al. (2003) Q 249) 250)
2.4×10−4 Yao et al. (2002) Q 230)
1.0×10−3 Nirmalakhandan and Speece (1988) Q
2.5×10−3 Duchowicz et al. (2020) ? 21) 186)
1.2×10−3 Mackay et al. (2006b) ?
3.9×10−4 Yaws (1999) ? 21)
1.2×10−3 Mackay et al. (1993) ?
4.4×10−4 Yaws and Yang (1992) ? 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

  • Ashworth, R. A., Howe, G. B., Mullins, M. E., & Rogers, T. N.: Air–water partitioning coefficients of organics in dilute aqueous solutions, J. Hazard. Mater., 18, 25–36, doi:10.1016/0304-3894(88)85057-X (1988).
  • 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).
  • Burkholder, J. B., Sander, S. P., Abbatt, J., Barker, J. R., Huie, R. E., Kolb, C. E., Kurylo, M. J., Orkin, V. L., Wilmouth, D. M., & Wine, P. H.: Chemical Kinetics and Photochemical Data for Use in Atmospheric Studies, Evaluation No. 18, JPL Publication 15-10, Jet Propulsion Laboratory, Pasadena, URL https://jpldataeval.jpl.nasa.gov (2015).
  • Burkholder, J. B., Sander, S. P., Abbatt, J., Barker, J. R., Cappa, C., Crounse, J. D., Dibble, T. S., Huie, R. E., Kolb, C. E., Kurylo, M. J., Orkin, V. L., Percival, C. J., Wilmouth, D. M., & Wine, P. H.: Chemical Kinetics and Photochemical Data for Use in Atmospheric Studies, Evaluation No. 19, JPL Publication 19-5, Jet Propulsion Laboratory, Pasadena, URL https://jpldataeval.jpl.nasa.gov (2019).
  • Dilling, W. L.: Interphase transfer processes. II. Evaporation rates of chloro methanes, ethanes, ethylenes, propanes, and propylenes from dilute aqueous solutions. Comparisons with theoretical predictions, Environ. Sci. Technol., 11, 405–409, doi:10.1021/ES60127A009 (1977).
  • 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).
  • 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).
  • 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).
  • Hwang, Y.-L., Olson, J. D., & Keller, II, G. E.: Steam stripping for removal of organic pollutants from water. 2. Vapor-liquid equilibrium data, Ind. Eng. Chem. Res., 31, 1759–1768, doi:10.1021/IE00007A022 (1992).
  • 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).
  • Lide, D. R. & Frederikse, H. P. R.: CRC Handbook of Chemistry and Physics, 76th Edition, CRC Press, Inc., Boca Raton, FL, ISBN 0849304768 (1995).
  • Mackay, D. & Shiu, W. Y.: A critical review of Henry’s law constants for chemicals of environmental interest, J. Phys. Chem. Ref. Data, 10, 1175–1199, doi:10.1063/1.555654 (1981).
  • 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).
  • Munz, C. & Roberts, P. V.: Effects of solute concentration and cosolvents on the aqueous activity coefficient of halogenated hydrocarbons, Environ. Sci. Technol., 20, 830–836, doi:10.1021/ES00150A013 (1986).
  • Munz, C. & Roberts, P. V.: Air–water phase equilibria of volatile organic solutes, J. Am. Water Works Assoc., 79, 62–69, doi:10.1002/J.1551-8833.1987.TB02844.X (1987).
  • Nirmalakhandan, N. N. & Speece, R. E.: QSAR model for predicting Henry’s constant, Environ. Sci. Technol., 22, 1349–1357, doi:10.1021/ES00176A016 (1988).
  • 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).
  • Staudinger, J. & Roberts, P. V.: A critical review of Henry’s law constants for environmental applications, Crit. Rev. Environ. Sci. Technol., 26, 205–297, doi:10.1080/10643389609388492 (1996).
  • 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).
  • 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).
  • 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).
  • Yaws, C. L. & Yang, H.-C.: Henry’s law constant for compound in water, in: Thermodynamic and Physical Property Data, edited by Yaws, C. L., pp. 181–206, Gulf Publishing Company, Houston, TX, ISBN 0884150313 (1992).
  • 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

21) Several references are given in the list of Henry's law constants but not assigned to specific species.
33) Fitting the temperature dependence dlnH/d(1/T) produced a low correlation coefficient (r2 < 0.9). The data should be treated with caution.
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.
186) Experimental value, 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).
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.
250) Value from the training set.
279) Data are taken from the report by Howe et al. (1987).
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).

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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