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 Please do not cite the old paper anymore.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 oxygen (O) → Polyols (R(OH)_n) → 1,3-propanediol

FORMULA:	C₃H₈O₂
CAS RN:	504-63-2
STRUCTURE (FROM NIST):
InChIKey:	YPFDHNVEDLHUCE-UHFFFAOYSA-N

$H_{s}^{cp}$	$d ln H_{s}^{cp} / d (1/ T)$	References	Type	Notes
[mol/(m³Pa)]	[K]
1.6×10⁴		Burkholder et al. (2019)	L
1.6×10⁴		Burkholder et al. (2015)	L
9.1×10³		Bone et al. (1983)	M	12)
1.6×10⁴	9500	Compernolle and Müller (2014b)	V
7.4×10²		Wang et al. (2017)	Q	81) 239)
6.3×10³		Wang et al. (2017)	Q	81) 240)
4.8×10³		Wang et al. (2017)	Q	81) 241)
3.1×10³		Raventos-Duran et al. (2010)	Q	244) 272)
2.5×10³		Raventos-Duran et al. (2010)	Q	245)
6.2×10¹		Raventos-Duran et al. (2010)	Q	246)
4.0×10²		Hilal et al. (2008)	Q
2.0×10³		Modarresi et al. (2007)	Q	68)

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

Bone, R., Cullis, P., & Wolfenden, R.: Solvent effects on equilibria of addition of nucleophiles to acetaldehyde and the hydrophilic character of diols, J. Am. Chem. Soc., 105, 1339–1343, doi:10.1021/JA00343A044 (1983).
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).
Compernolle, S. & Müller, J.-F.: Henry’s law constants of polyols, Atmos. Chem. Phys., 14, 12 815–12 837, doi:10.5194/ACP-14-12815-2014 (2014b).
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).
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).
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).
Wang, C., Yuan, T., Wood, S. A., Goss, K.-U., Li, J., Ying, Q., & Wania, F.: Uncertain Henry’s law constants compromise equilibrium partitioning calculations of atmospheric oxidation products, Atmos. Chem. Phys., 17, 7529–7540, doi:10.5194/ACP-17-7529-2017 (2017).

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.
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.
81)	Value at T = 288 K.
239)	Calculated using linear free energy relationships (LFERs).
240)	Calculated using SPARC Performs Automated Reasoning in Chemistry (SPARC).
241)	Calculated using COSMOtherm.
244)	Calculated using the GROMHE model.
245)	Calculated using the SPARC approach.
246)	Calculated using the HENRYWIN method.
272)	Value from the validation dataset.

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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