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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 Please do not cite the old paper anymore.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 Constants → Hydrocarbons (C, H) → Alkanes → nonane

FORMULA:C9H20
CAS RN:111-84-2
STRUCTURE
(FROM NIST):
InChIKey:BKIMMITUMNQMOS-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
2.3×10−6 6600 Brockbank (2013) L 1) 294)
2.1×10−6 Plyasunov and Shock (2000) L
2.0×10−6 Mackay and Shiu (1981) L
2.2×10−6 Ryu and Park (1999) M
1.9×10−6 Park et al. (1997) M 277)
2.3×10−5 190 Ashworth et al. (1988) M 42) 279)
1.8×10−6 7300 Jönsson et al. (1982) M
2.9×10−6 Duchowicz et al. (2020) V 187)
2.9×10−6 HSDB (2015) V
3.0×10−6 Mackay et al. (2006a) V
3.0×10−6 Mackay et al. (1993) V
1.7×10−6 Eastcott et al. (1988) V
2.0×10−6 Abraham (1984) V
1.6×10−6 Yaws (2003) X 238)
4.4×10−4 Duchowicz et al. (2020) Q
2.9×10−5 Wang et al. (2017) Q 81) 239)
2.5×10−6 Wang et al. (2017) Q 81) 240)
2.3×10−5 Wang et al. (2017) Q 81) 241)
3.0×10−6 Gharagheizi et al. (2012) Q
2.5×10−6 Raventos-Duran et al. (2010) Q 244) 272)
3.9×10−6 Raventos-Duran et al. (2010) Q 245)
2.5×10−6 Raventos-Duran et al. (2010) Q 246)
1.8×10−6 Gharagheizi et al. (2010) Q 247)
3.0×10−6 Hilal et al. (2008) Q
4.3×10−6 Modarresi et al. (2007) Q 68)
5000 Kühne et al. (2005) Q
1.5×10−6 Modarresi et al. (2005) Q 248)
2.0×10−6 Yaffe et al. (2003) Q 249) 250)
4.6×10−6 Yao et al. (2002) Q 230)
1.1×10−5 Katritzky et al. (1998) Q
3.8×10−6 Nirmalakhandan et al. (1997) Q
4100 Kühne et al. (2005) ?
1.6×10−6 Yaws (1999) ? 21)
1.7×10−6 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

  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • Gharagheizi, F., Eslamimanesh, A., Mohammadi, A. H., & Richon, D.: Empirical method for estimation of Henry’s law constant of non-electrolyte organic compounds in water, J. Chem. Thermodyn., 47, 295–299, doi:10.1016/J.JCT.2011.11.015 (2012).
  • 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).
  • 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).
  • Jönsson, J. Å., Vejrosta, J., & Novák, J.: Air/water partition coefficients for normal alkanes (n-pentane to n-nonane), Fluid Phase Equilib., 9, 279–286, doi:10.1016/0378-3812(82)80023-X (1982).
  • 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).
  • 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. I of Introduction and Hydrocarbons, CRC/Taylor & Francis Group, doi:10.1201/9781420044393 (2006a).
  • Modarresi, H., Modarress, H., & Dearden, J. C.: Henry’s law constant of hydrocarbons in air–water system: The cavity ovality effect on the non-electrostatic contribution term of solvation free energy, SAR QSAR Environ. Res., 16, 461–482, doi:10.1080/10659360500319869 (2005).
  • 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).
  • Park, S.-J., Han, S.-D., & Ryu, S.-A.: Measurement of air/water partition coefficient (Henry’s law constant) by using EPICS method and their relationship with vapor pressure and water solubility, J. Korean Inst. Chem. Eng., 35, 915–920 (1997).
  • Plyasunov, A. V. & Shock, E. L.: Thermodynamic functions of hydration of hydrocarbons at 298.15K and 0.1MPa, Geochim. Cosmochim. Acta, 64, 439–468, doi:10.1016/S0016-7037(99)00330-0 (2000).
  • 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).
  • Ryu, S.-A. & Park, S.-J.: A rapid determination method of the air/water partition coefficient and its application, Fluid Phase Equilib., 161, 295–304, doi:10.1016/S0378-3812(99)00193-4 (1999).
  • 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).
  • 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).

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.
42) Fitting the temperature dependence dlnH/d(1/T) produced a very low correlation coefficient (r2 < 0.5). 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.
81) Value at T = 288 K.
187) Estimation based on the quotient between vapor pressure and water solubility, 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).
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.
247) Calculated using a combination of a group contribution method and neural networks.
248) Modarresi et al. (2005) use different descriptors for the QSPR models. They conclude that their "COSA" method and the artificial neural network (ANN) are best. However, as COSA is not ideal for hydrocarbons with low solubility, only results obtained with ANN are shown here.
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.
272) Value from the validation dataset.
277) Apparently, the values in Table 2 of Park et al. (1997) show log10(Kaw) and not Kaw as their figure caption states.
279) Data are taken from the report by Howe et al. (1987).
294) Values at 298 K in Tables C2 and C5 of Brockbank (2013) are inconsistent, with 23 % 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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