Abstract
Henry’s law constant (H) is the air-water partition coefficient, and as such is important in modelling the environmental distribution of chemicals. Several quantitative structure-property relationship (QSPR) studies have been made of Henry’s law constant; we recently (Dearden et al., 1997) developed such a QSPR for 294 diverse compounds from a consideration of the fundamental processes occurring during air-water partitioning, and using only calculated parameters:
where: HBN = total number of hydrogen (H) bonds that a molecule can form with water; HBI = sum of indicator variables for H-bond donation and acceptance; ∆MR = excess molar refractivity; log P = calculated logarithm of octanol-water partition coefficient; MR = calculated molar refractivity; BIdw = Bonchev index; and \({}^4X_p^v\) = 4th order valence-corrected path molecular connectivity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dearden, J.C., Cronin, M.T.D., Sharrs, J.A., Higgins, C., Boxall, A.B.A., and Watts, C.D., 1997, The prediction of Henry’s law constant: a QSPR from fundamental considerations, in: Quantitative Structure Activity Relationships in Environmental Sciences–U I, F. Chen and G. Schuurmann, eds., SETAC Press, Pensacola, FL, pp. 135–142.
Meylan, W.M. and Howard, P.H., 1992, Henry’s law constant program manual, Lewis Publishers, Boca Raton, FL.
Raevsky, O.A., 1997, Hydrogen bond strength estimation by means of the HYBOT program package, in: Computer Assisted Lead Finding and Optimization, H. van de Waterbeemd, B. Testa and G. Folkers, eds., Wiley-VCH, Weinheim, pp. 369–378.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Dearden, J.C., Ahmed, S.A., Cronin, M.T.D., Sharra, J.A. (2000). QSPR Prediction of Henry’s Law Constant: Improved Correlation with New Parameters. In: Gundertofte, K., Jørgensen, F.S. (eds) Molecular Modeling and Prediction of Bioactivity. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4141-7_37
Download citation
DOI: https://doi.org/10.1007/978-1-4615-4141-7_37
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6857-1
Online ISBN: 978-1-4615-4141-7
eBook Packages: Springer Book Archive