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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 Please do not cite the old paper anymore.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 fluorine (F) → Organic fluorine → 2,2,2-trifluoroethanol

FORMULA:CF3CH2OH
CAS RN:75-89-8
STRUCTURE
(FROM NIST):
InChIKey:RHQDFWAXVIIEBN-UHFFFAOYSA-N

Hscp d ln Hs cp / d (1/T) References Type Notes
[mol/(m3Pa)] [K]
4.7×10−1 6200 Burkholder et al. (2019) L
4.7×10−1 6200 Burkholder et al. (2015) L
4.7×10−1 6200 Sander et al. (2011) L
4.7×10−1 6200 Chen et al. (2003) M
4.3×10−1 Eger et al. (1999) M 14)
5.8×10−1 5900 Rochester and Symonds (1973) M
3.4×10−1 Keshavarz et al. (2022) Q
8.6×10−1 Duchowicz et al. (2020) Q
3.9×10−1 Raventos-Duran et al. (2010) Q 243) 244)
2.5×10−1 Raventos-Duran et al. (2010) Q 245)
3.1×10−1 Raventos-Duran et al. (2010) Q 246)
3.5×10−1 Zhang et al. (2010) Q 288) 289)
2.4×10−1 Zhang et al. (2010) Q 288) 290)
3.8 Zhang et al. (2010) Q 288) 291)
4.7×10−2 Zhang et al. (2010) Q 288) 292)
6.1×10−1 Hilal et al. (2008) Q
3.4 Modarresi et al. (2007) Q 68)
6500 Kühne et al. (2005) Q
7.7×10−1 Goss (2005) Q 630)
6.1×10−1 Yaffe et al. (2003) Q 249) 250)
6.9×10−1 English and Carroll (2001) Q 231) 232)
1.6×10−2 Katritzky et al. (1998) Q
5.0×10−1 Nirmalakhandan and Speece (1988) Q
5.7×10−1 Duchowicz et al. (2020) ? 21) 186)
5600 Kühne et al. (2005) ?
5.7×10−1 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., 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).
  • 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, L., Takenaka, N., Bandow, H., & Maeda, Y.: Henry’s law constants for C2-C3 fluorinated alcohols and their wet deposition in the atmosphere, Atmos. Environ., 37, 4817–4822, doi:10.1016/J.ATMOSENV.2003.08.002 (2003).
  • 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).
  • Eger, II, E. I., Ionescu, P., Laster, M. J., Gong, D., Hudlicky, T., Kendig, J. J., Harris, R. A., Trudell, J. R., & Pohorille, A.: Minimum alveolar anesthetic concentration of fluorinated alkanols in rats: relevance to theories of narcosis, Anesth. Analg., 88, 867–876, doi:10.1213/00000539-199904000-00035 (1999).
  • 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).
  • Goss, K.-U.: Predicting the equilibrium partitioning of organic compounds using just one linear solvation energy relationship (LSER), Fluid Phase Equilib., 233, 19–22, doi:10.1016/J.FLUID.2005.04.006 (2005).
  • 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).
  • 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).
  • 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).
  • Rochester, H. & Symonds, J. R.: Thermodynamic studies of fluoroalcohols. Part 3. – The thermodynamics of transfer of five fluoroalcohols from the gas-phase to aqueous solution, J. Chem. Soc. Faraday Trans. 1, 69, 1577–1585, doi:10.1039/F19736901577 (1973).
  • Sander, S. P., Abbatt, J., Barker, J. R., Burkholder, J. B., Friedl, R. R., Golden, D. M., Huie, R. E., Kolb, C. E., Kurylo, M. J., Moortgat, G. K., Orkin, V. L., & Wine, P. H.: Chemical Kinetics and Photochemical Data for Use in Atmospheric Studies, Evaluation No. 17, JPL Publication 10-6, Jet Propulsion Laboratory, Pasadena, URL https://jpldataeval.jpl.nasa.gov (2011).
  • 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).
  • Zhang, X., Brown, T. N., Wania, F., Heimstad, E. S., & Goss, K.-U.: Assessment of chemical screening outcomes based on different partitioning property estimation methods, Environ. Int., 36, 514–520, doi:10.1016/J.ENVINT.2010.03.010 (2010).

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

14) Value at T = 310 K.
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.
186) Experimental value, 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.
232) Value from the training dataset.
243) Value from the training dataset.
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.
288) Data taken from the supplement.
289) Calculated using the EPI Suite (v4.0) method.
290) Calculated using the SPARC (v4.2) method.
291) Calculated using the COSMOtherm (v2.1) method.
292) Calculated using the ABSOLV (ADMEBoxes v4.1) method.
630) Comparing with Abraham et al. (1994a), it seems that the compound called "trifluoroethanol" by Goss (2005) refers to 2,2,2-trifluoroethanol.

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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