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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 Please do not cite the old paper anymore.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 chlorine (Cl) → Chlorocarbons (C, H, Cl) → chloroethane

FORMULA:C2H5Cl
CAS RN:75-00-3
STRUCTURE
(FROM NIST):
InChIKey:HRYZWHHZPQKTII-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
8.1×10−4 3000 Schwardt et al. (2021) L 1)
8.1×10−4 2900 Burkholder et al. (2019) L 1)
8.3×10−4 2800 Burkholder et al. (2015) L
8.1×10−4 2900 Brockbank (2013) L 1)
8.3×10−4 2800 Warneck (2007) L
8.4×10−4 2900 Staudinger and Roberts (2001) L
8.3×10−4 2900 Staudinger and Roberts (1996) L
5.0×10−3 Mackay and Shiu (1981) L
4.7×10−4 Steward et al. (1973) L 14)
7.3×10−4 3500 Allott et al. (1973) L
8.5×10−4 3200 Hiatt (2013) M
7.6×10−4 3100 Chen et al. (2012) M
8.9×10−4 3200 Maaßen (1995) M 664)
9.3×10−4 3300 Reichl (1995) M 665)
7.9×10−4 2600 Ashworth et al. (1988) M 279)
8.8×10−4 3100 Gossett (1987) M
5.5×10−3 Mackay et al. (2006b) V
5.5×10−3 Mackay et al. (1993) V
5.6×10−4 Hwang et al. (1992) V
8.8×10−4 Dilling (1977) V
1.2×10−3 Hine and Mookerjee (1975) V
1.4×10−3 Yaws (2003) X 12) 238)
6.8×10−4 750 Goldstein (1982) X 299)
6.6×10−4 Ryan et al. (1988) C
6.3×10−4 Irmann (1965) C
8.0×10−4 Hayer et al. (2022) Q 20)
2.2×10−4 Wang et al. (2017) Q 81) 239)
1.4×10−3 Wang et al. (2017) Q 81) 240)
1.7×10−3 Wang et al. (2017) Q 81) 241)
7.9×10−4 Gharagheizi et al. (2012) Q
6.2×10−4 Raventos-Duran et al. (2010) Q 244) 272)
1.2×10−3 Raventos-Duran et al. (2010) Q 245)
9.9×10−4 Raventos-Duran et al. (2010) Q 246)
9.3×10−4 Gharagheizi et al. (2010) Q 247)
1.2×10−3 Hilal et al. (2008) Q
1.0×10−3 Modarresi et al. (2007) Q 68)
3000 Kühne et al. (2005) Q
1.1×10−3 Yaffe et al. (2003) Q 249) 250)
4.8×10−4 Yao et al. (2002) Q 230)
9.7×10−4 English and Carroll (2001) Q 231) 232)
9.0×10−4 Katritzky et al. (1998) Q
6.1×10−4 Suzuki et al. (1992) Q 233)
7.9×10−4 Nirmalakhandan and Speece (1988) Q
7.6×10−4 Irmann (1965) Q
9.8×10−4 Mackay et al. (2006b) ?
2900 Kühne et al. (2005) ?
1.4×10−3 Yaws (1999) ? 12) 21)
4.8×10−4 Abraham and Weathersby (1994) ? 21)
9.8×10−4 Mackay et al. (1993) ?
1.4×10−3 Yaws and Yang (1992) ? 12) 21)
1.2×10−3 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. & Weathersby, P. K.: Hydrogen bonding. 30. Solubility of gases and vapors in biological liquids and tissues, J. Pharm. Sci., 83, 1450–1456, doi:10.1002/JPS.2600831017 (1994).
  • 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).
  • Allott, P. R., Steward, A., Flook, V., & Mapleson, W. W.: Variation with temperature of the solubilities of inhaled anaesthestics in water, oil and biological media, Br. J. Anaesth., 45, 294–300, doi:10.1093/BJA/45.3.294 (1973).
  • 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).
  • 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).
  • Chen, F., Freedman, D. L., Falta, R. W., & Murdoch, L. C.: Henry’s law constants of chlorinated solvents at elevated temperatures, Chemosphere, 86, 156–165, doi:10.1016/J.CHEMOSPHERE.2011.10.004 (2012).
  • Dilling, W. L.: Interphase transfer processes. II. Evaporation rates of chloro methanes, ethanes, ethylenes, propanes, and propylenes from dilute aqueous solutions. Comparisons with theoretical predictions, Environ. Sci. Technol., 11, 405–409, doi:10.1021/ES60127A009 (1977).
  • 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).
  • 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).
  • Goldstein, D. J.: Air and steam stripping of toxic pollutants, Appendix 3: Henry’s law constants, Tech. Rep. EPA-68-03-002, Industrial Environmental Research Laboratory, Cincinnati, OH, USA (1982).
  • Gossett, J. M.: Measurement of Henry’s law constants for C1 and C2 chlorinated hydrocarbons, Environ. Sci. Technol., 21, 202–208, doi:10.1021/ES00156A012 (1987).
  • Hayer, N., Jirasek, F., & Hasse, H.: Prediction of Henry’s law constants by matrix completion, AIChE J., 68, e17 753, doi:10.1002/AIC.17753 (2022).
  • Hiatt, M. H.: Determination of Henry’s law constants using internal standards with benchmark values, J. Chem. Eng. Data, 58, 902–908, doi:10.1021/JE3010535 (2013).
  • 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).
  • Hwang, Y.-L., Olson, J. D., & Keller, II, G. E.: Steam stripping for removal of organic pollutants from water. 2. Vapor-liquid equilibrium data, Ind. Eng. Chem. Res., 31, 1759–1768, doi:10.1021/IE00007A022 (1992).
  • Irmann, F.: Eine einfache Korrelation zwischen Wasserlöslichkeit und Struktur von Kohlenwasserstoffen und Halogenkohlenwasserstoffen, Chem.-Ing.-Tech., 37, 789–798, doi:10.1002/CITE.330370802 (1965).
  • 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).
  • Maaßen, S.: Experimentelle Bestimmung und Korrelierung von Verteilungskoeffizienten in verdünnten Lösungen, Ph.D. thesis, Technische Universität Berlin, Germany, ISBN 3826511042 (1995).
  • 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. II of Halogenated Hydrocarbons, CRC/Taylor & Francis Group, doi:10.1201/9781420044393 (2006b).
  • 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).
  • Reichl, A.: Messung und Korrelierung von Gaslöslichkeiten halogenierter Kohlenwasserstoffe, Ph.D. thesis, Technische Universität Berlin, Germany (1995).
  • Ryan, J. A., Bell, R. M., Davidson, J. M., & O’Connor, G. A.: Plant uptake of non-ionic organic chemicals from soils, Chemosphere, 17, 2299–2323, doi:10.1016/0045-6535(88)90142-7 (1988).
  • Schwardt, A., Dahmke, A., & Köber, R.: Henry’s law constants of volatile organic compounds between 0 and 95∘C – Data compilation and complementation in context of urban temperature increases of the subsurface, Chemosphere, 272, 129 858, doi:10.1016/J.CHEMOSPHERE.2021.129858 (2021).
  • Staudinger, J. & Roberts, P. V.: A critical review of Henry’s law constants for environmental applications, Crit. Rev. Environ. Sci. Technol., 26, 205–297, doi:10.1080/10643389609388492 (1996).
  • Staudinger, J. & Roberts, P. V.: A critical compilation of Henry’s law constant temperature dependence relations for organic compounds in dilute aqueous solutions, Chemosphere, 44, 561–576, doi:10.1016/S0045-6535(00)00505-1 (2001).
  • Steward, A., Allott, P. R., Cowles, A. L., & Mapleson, W. W.: Solubility coefficients for inhaled anaesthetics for water, oil and biological media, Br. J. Anaesth., 45, 282–293, doi:10.1093/BJA/45.3.282 (1973).
  • Suzuki, T., Ohtaguchi, K., & Koide, K.: Application of principal components analysis to calculate Henry’s constant from molecular structure, Comput. Chem., 16, 41–52, doi:10.1016/0097-8485(92)85007-L (1992).
  • 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).
  • Warneck, P.: A review of Henry’s law coefficients for chlorine-containing C1 and C2 hydrocarbons, Chemosphere, 69, 347–361, doi:10.1016/J.CHEMOSPHERE.2007.04.088 (2007).
  • 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.
12) Value at T = 293 K.
14) Value at T = 310 K.
20) Calculated using machine learning matrix completion methods (MCMs).
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.
81) Value at T = 288 K.
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.
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.
232) Value from the training dataset.
233) Calculated with a principal component analysis (PCA); see Suzuki et al. (1992) for details.
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.
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.
279) Data are taken from the report by Howe et al. (1987).
299) Value given here as quoted by Staudinger and Roberts (1996).
664) The data from Maaßen (1995) were fitted to the three-parameter equation: Hscp= exp( −221.58683 +12291.19608/T +30.42274 ln(T)) mol m−3 Pa−1, with T in K.
665) The data from Reichl (1995) were fitted to the three-parameter equation: Hscp= exp( −233.85465 +12927.81251/T +32.20905 ln(T)) mol m−3 Pa−1, with T in 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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