Predicting infinite dilution activity coefficients of organic compounds in water by quantum-connectivity descriptors

Quantitative structure-property relationship (QSPR) models are developed to predict the logarithm of infinite dilution activity coefficient of hydrocarbons, oxygen containing organic compounds and halogenated hydrocarbons in water at 298.15 K. The description of the molecular structure in terms of quantum-connectivity descriptors allows to obtain more simple QSPR models because of the quantum-chemical and topological information coded in this type of descriptors. The models developed in this paper have fewer descriptors and better statistics than other models reported in literature. The current models allow a more transparent physical interpretation of the phenomenon in terms of intermolecular interactions which occur in solution and which explain the respective deviations from ideality.

[1]  R. Carbó-Dorca,et al.  Estimation of infinite dilution activity coefficients of organic compounds in water with neural classifiers , 2004 .

[2]  M. Muir Physical Chemistry , 1888, Nature.

[3]  S. Sandler Unusual chemical thermodynamics , 1999 .

[4]  Peter C. Jurs,et al.  Prediction of Infinite Dilution Activity Coefficients of Organic Compounds in Aqueous Solution from Molecular Structure , 1998, J. Chem. Inf. Comput. Sci..

[5]  C. Eckert,et al.  Measurement and application of limiting activity coefficients , 1981 .

[6]  Chongli Zhong,et al.  A QSPR study of infinite dilution activity coefficients of organic compounds in aqueous solutions , 2003 .

[7]  Suojiang Zhang,et al.  Measuring methods of infinite dilution activity coefficients and a database for systems including water , 1997 .

[8]  Milan Randic,et al.  Resolution of ambiguities in structure-property studies by use of orthogonal descriptors , 1991, J. Chem. Inf. Comput. Sci..

[9]  P. Jurs,et al.  Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies , 1990 .

[10]  Kazuo Kojima,et al.  Prediction of vapor-liquid equilibria by the ASOG method , 1979 .

[11]  Douglas M. Hawkins,et al.  The Problem of Overfitting , 2004, J. Chem. Inf. Model..

[12]  M. Karelson,et al.  QSPR: the correlation and quantitative prediction of chemical and physical properties from structure , 1995 .

[13]  Ernesto Estrada,et al.  3D Connectivity Indices in QSPR/QSAR Studies , 2001, J. Chem. Inf. Comput. Sci..

[14]  Aage Fredenslund,et al.  Group‐contribution estimation of activity coefficients in nonideal liquid mixtures , 1975 .

[15]  John D. Simon,et al.  Physical chemistry : a molecular approach , 1997 .

[16]  H. X. Liu,et al.  The prediction of human oral absorption for diffusion rate-limited drugs based on heuristic method and support vector machine , 2005, J. Comput. Aided Mol. Des..

[17]  S. Sandler Infinite dilution activity coefficients in chemical, environmental and biochemical engineering , 1996 .

[18]  Gonzalo A. Jaña,et al.  Quantum‐connectivity descriptors in modeling solubility of environmentally important organic compounds , 2004, Journal of Computational Chemistry.

[19]  Eduardo J. Delgado,et al.  Prediction of infinite dilution activity coefficients of chlorinated organic compounds in aqueous solution from quantum‐chemical descriptors , 2001, J. Comput. Chem..

[20]  Charles A. Eckert,et al.  Prediction of limiting activity coefficients by a modified separation of cohesive energy density model and UNIFAC , 1984 .