Henry's Law Constants

Rolf Sander

Atmospheric Chemistry Division

Max-Planck Institute for Chemistry
Mainz, Germany

Errata

Contact, Imprint, Acknowledgements

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 Please do not cite the old paper anymore.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 bromine (Br) → Bromocarbons (C, H, O, N, Br) → 1,4-dibromobenzene

FORMULA:	C₆H₄Br₂
CAS RN:	106-37-6
STRUCTURE (FROM NIST):
InChIKey:	SWJPEBQEEAHIGZ-UHFFFAOYSA-N

$H_{s}^{cp}$	$d ln H_{s}^{cp} / d (1/ T)$	References	Type	Notes
[mol/(m³Pa)]	[K]
9.4×10⁻³		Kuramochi et al. (2004)	M
1.1×10⁻²		Duchowicz et al. (2020)	V	187)
1.1×10⁻²		HSDB (2015)	V
4.3×10⁻³		Schüürmann (2000)	V
4.8×10⁻³		Mackay and Shiu (1981)	V	557)
2.0×10⁻²		Hine and Mookerjee (1975)	V
1.1×10⁻²		Kuramochi et al. (2004)	C
7.1×10⁻³		Duchowicz et al. (2020)	Q
1.2×10⁻²		Raventos-Duran et al. (2010)	Q	243) 244)
2.5×10⁻²		Raventos-Duran et al. (2010)	Q	245)
1.2×10⁻²		Raventos-Duran et al. (2010)	Q	246)
1.2×10⁻²		Hilal et al. (2008)	Q
1.0×10⁻²		Modarresi et al. (2007)	Q	68)
	5600	Kühne et al. (2005)	Q
4.5×10⁻³		English and Carroll (2001)	Q	231) 275)
4.1×10⁻²		Katritzky et al. (1998)	Q
2.4×10⁻²		Nirmalakhandan and Speece (1988)	Q
	6900	Kühne et al. (2005)	?

Data

The first column contains Henry's law solubility constant

H_{s}^{cp}

at the reference temperature of 298.15 K.
The second column contains the temperature dependence

d ln H_{s}^{cp} / d
(1/ T)

, also at the reference temperature.

References

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).
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).
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).
HSDB: Hazardous Substances Data Bank, TOXicology data NETwork (TOXNET), National Library of Medicine (US), URL https://www.nlm.nih.gov/toxnet/Accessing_HSDB_Content_from_PubChem.html (2015).
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).
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).
Kuramochi, H., Maeda, K., & Kawamoto, K.: Measurements of water solubilities and 1-octanol/water partition coefficients and estimations of Henry’s law constants for brominated benzenes, J. Chem. Eng. Data, 49, 720–724, doi:10.1021/JE0342724 (2004).
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).
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).
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).
Schüürmann, G.: Prediction of Henry’s law constant of benzene derivatives using quantum chemical continuum-solvation models, J. Comput. Chem., 21, 17–34, doi:10.1002/(SICI)1096-987X(20000115)21:1<17::AID-JCC3>3.0.CO;2-5 (2000).

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

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.
187)	Estimation based on the quotient between vapor pressure and water solubility, 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.
243)	Value from the training dataset.
244)	Calculated using the GROMHE model.
245)	Calculated using the SPARC approach.
246)	Calculated using the HENRYWIN method.
275)	Value from the test dataset.
557)	Value at T = 308 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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