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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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References

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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 Please do not cite the old paper anymore.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 → Hydrocarbons (C, H) → Polynuclear aromatics → benzo[ghi]perylene

FORMULA:C22H12
CAS RN:191-24-2
STRUCTURE
(FROM NIST):
InChIKey:GYFAGKUZYNFMBN-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
3.0×101 Ma et al. (2010b) L 368)
2.4×101 Ma et al. (2010b) L 369)
3.0×101 3200 ten Hulscher et al. (1992) M
1.8×101 De Maagd et al. (1998) V 12)
1.3×101 Shiu and Mackay (1997) V
6.9×101 Eastcott et al. (1988) V
4.0 9200 Paasivirta et al. (1999) T
1.3×101 Mackay et al. (1992b) X 366)
1.8×102 Smith et al. (1993) C
4.7 Keshavarz et al. (2022) Q
3.7 Duchowicz et al. (2020) Q
1.1×101 Parnis et al. (2015) Q 371)
2.6 Hilal et al. (2008) Q
6.1×101 Modarresi et al. (2007) Q 68)
3700 Kühne et al. (2005) Q
3.7×10−2 Yaffe et al. (2003) Q 249) 250)
3.0×101 Duchowicz et al. (2020) ? 21) 186)
3300 Kühne et al. (2005) ?

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

  • De Maagd, P. G.-J., Ten Hulscher, D. T. E. M., van den Heuvel, H., Opperhuizen, A., & Sijm, D. T. H. M.: Physicochemical properties of polycyclic aromatic hydrocarbons: Aqueous solubilities, n-octanol/water partition coefficients, and Henry’s law constants, Environ. Toxicol. Chem., 17, 251–257, doi:10.1002/ETC.5620170216 (1998).
  • 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).
  • Eastcott, L., Shiu, W. Y., & Mackay, D.: Environmentally relevant physical-chemical properties of hydrocarbons: A review of data and development of simple correlations, Oil Chem. Pollut., 4, 191–216, doi:10.1016/S0269-8579(88)80020-0 (1988).
  • 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).
  • 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).
  • Mackay, D., Shiu, W. Y., & Ma, K. C.: Illustrated Handbook of Physical-Chemical Properties and Environmental Fate for Organic Chemicals, vol. II of Polynuclear Aromatic Hydrocarbons, Polychlorinated Dioxins, and Dibenzofurans, Lewis Publishers, Boca Raton, ISBN 0873715837 (1992b).
  • Ma, Y.-G., Lei, Y. D., Xiao, H., Wania, F., & Wang, W.-H.: Critical review and recommended values for the physical-chemical property data of 15 polycyclic aromatic hydrocarbons at 25∘C, J. Chem. Eng. Data, 55, 819–825, doi:10.1021/JE900477X (2010b).
  • 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).
  • Paasivirta, J., Sinkkonen, S., Mikkelson, P., Rantio, T., & Wania, F.: Estimation of vapor pressures, solubilities and Henry’s law constants of selected persistent organic pollutants as functions of temperature, Chemosphere, 39, 811–832, doi:10.1016/S0045-6535(99)00016-8 (1999).
  • Parnis, J. M., Mackay, D., & Harner, T.: Temperature dependence of Henry’s law constants and KOA for simple and heteroatom-substituted PAHs by COSMO-RS, Atmos. Environ., 110, 27–35, doi:10.1016/J.ATMOSENV.2015.03.032 (2015).
  • 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).
  • Smith, J. R., Neuhauser, E. F., Middleton, A. C., Cunningham, J. J., Weightman, R. L., & Linz, D. G.: Treatment of organically contaminated groundwaters in municipal activated sludge systems, Water Environ. Res., 65, 804–818, doi:10.2175/WER.65.7.2 (1993).
  • ten Hulscher, T. E. M., van der Velde, L. E., & Bruggeman, W. A.: Temperature dependence of Henry’s law constants for selected chlorobenzenes, polychlorinated biphenyls and polycyclic aromatic hydrocarbons, Environ. Toxicol. Chem., 11, 1595–1603, doi:10.1002/ETC.5620111109 (1992).
  • 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).

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 (2015) 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.
186) Experimental value, extracted from HENRYWIN.
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.
366) Value given here as quoted by Haynes (2014).
368) Literature-derived value.
369) Final adjusted value.
371) Calculated using COSMOtherm.

The numbers of the notes are the same as in Sander (2015). References cited in the notes can be found here.

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