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Henry's Law Constants

www.henrys-law.org

Rolf Sander

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 Please do not cite the old paper anymore.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 oxygen (O) → Alcohols (ROH) → 1-decanol

FORMULA:C10H22O
CAS RN:112-30-1
STRUCTURE
(FROM NIST):
InChIKey:MWKFXSUHUHTGQN-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
2.0×10−1 9200 Brockbank (2013) L 1) 410)
7.6×10−2 6600 Shunthirasingham et al. (2013) M
6.5×10−2 5300 Lei et al. (2007) M 397)
3.1×10−1 Altschuh et al. (1999) M
1.9×10−1 Abraham (1984) V
2.1×10−1 Yaws (2003) X 259)
2.8×10−1 Dupeux et al. (2022) Q 260)
1.3×10−1 Keshavarz et al. (2022) Q
1.5 Duchowicz et al. (2020) Q
1.6×10−1 Raventos-Duran et al. (2010) Q 244) 272)
1.2×10−1 Raventos-Duran et al. (2010) Q 245)
2.0×10−1 Raventos-Duran et al. (2010) Q 246)
2.0×10−1 Hilal et al. (2008) Q
4.6×10−1 Modarresi et al. (2007) Q 68)
2.1×10−1 Yaffe et al. (2003) Q 249) 250)
2.2×10−1 Yao et al. (2002) Q 230)
9.9×10−1 Katritzky et al. (1998) Q
2.4×10−1 Nirmalakhandan et al. (1997) Q
2.1×10−1 Yaws et al. (1997) Q
3.1×10−1 Duchowicz et al. (2020) ? 21) 186)
4.4×10−2 Maniere et al. (2011) ? 166) 242)
2.1×10−1 Yaws (1999) ? 21)
3.7×10−1 Yaws and Yang (1992) ? 21)
1.9×10−1 Abraham et al. (1990) ?

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

  • Abraham, M. H.: Thermodynamics of solution of homologous series of solutes in water, J. Chem. Soc. Faraday Trans. 1, 80, 153–181, doi:10.1039/F19848000153 (1984).
  • Abraham, M. H., Whiting, G. S., Fuchs, R., & Chambers, E. J.: Thermodynamics of solute transfer from water to hexadecane, J. Chem. Soc. Perkin Trans. 2, pp. 291–300, doi:10.1039/P29900000291 (1990).
  • Altschuh, J., Brüggemann, R., Santl, H., Eichinger, G., & Piringer, O. G.: Henry’s law constants for a diverse set of organic chemicals: Experimental determination and comparison of estimation methods, Chemosphere, 39, 1871–1887, doi:10.1016/S0045-6535(99)00082-X (1999).
  • 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).
  • 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).
  • Dupeux, T., Gaudin, T., Marteau-Roussy, C., Aubry, J.-M., & Nardello-Rataj, V.: COSMO-RS as an effective tool for predicting the physicochemical properties of fragrance raw materials, Flavour Fragrance J., 37, 106–120, doi:10.1002/FFJ.3690 (2022).
  • 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).
  • 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).
  • 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).
  • Lei, Y. D., Shunthirasingham, C., & Wania, F.: Comparison of headspace and gas-stripping techniques for measuring the air–water partititioning of normal alkanols (C4 to C10) – effect of temperature, chain length and adsorption to the water surface, J. Chem. Eng. Data, 52, 168–179, doi:10.1021/JE060344Q (2007).
  • Maniere, I., Bouneb, F., Fastier, A., Courty, B., Dumenil, J., Poupard, M., & Mercier, T.: AGRITOX-Database on pesticide active substances, Toxicol. Lett., 205S, S231–S232, doi:10.1016/J.TOXLET.2011.05.792, URL https://www.data.gouv.fr/fr/datasets/base-de-donnees-agritox (2011).
  • 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., Brennan, R. A., & Speece, R. E.: Predicting Henry’s law constant and the effect of temperature on Henry’s law constant, Wat. Res., 31, 1471–1481, doi:10.1016/S0043-1354(96)00395-8 (1997).
  • 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).
  • Shunthirasingham, C., Cao, X., Lei, Y. D., & Wania, F.: Large bubbles reduce the surface sorption artifact during inert gas stripping, J. Chem. Eng. Data, 58, 792–797, doi:10.1021/JE301326T (2013).
  • 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).
  • Yaws, C. L., Hopper, J. R., Sheth, S. D., Han, M., & Pike, R. W.: Solubility and Henry’s law constant for alcohols in water, Waste Manage., 17, 541–547, doi:10.1016/S0956-053X(97)10057-5 (1997).

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

1) A detailed temperature dependence with more than one parameter is available in the original publication. Here, only the temperature dependence at 298.15 K according to the van 't Hoff equation is presented.
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.
166) Data taken from the AGRITOX database file agritox-20210608.zip.
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.
242) Temperature is not specified.
244) Calculated using the GROMHE model.
245) Calculated using the SPARC approach.
246) Calculated using the HENRYWIN method.
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.
259) Value given here as quoted by Dupeux et al. (2022).
260) Calculated using the COSMO-RS method.
272) Value from the validation dataset.
397) Extrapolated from data above 298 K.
410) Values at 298 K in Tables C2 and C5 of Brockbank (2013) are inconsistent, with 8 % difference.

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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