title: Estimation of K(OA) values of 209 polychlorinated trans-azobenzenes by PM6 and DFT methods.
abstract: The octanol-air partition coefficients (K(OA)) of all 209 PCt-ABs were determined computationally to fill gaps on their environmentally relevant physical and chemical properties. These properties have been determined using two computational approaches: the semi-empirical quantum chemistry method for property parameterization (PM6) of the molecular orbital package (MOPAC) and density functional theory (DFT) method using B3LYP functional and 6-311++G** basis set in Gaussian 03 software and artificial neural network (ANN) predicting abilities. Both computational methods enabled estimation of log K(OA) partition coefficients of PCt-ABs with a similar accuracy and precision. The PM6 method compared to DFT was highly superior because it requires much less time, manpower and cost of hardware. The determined log K(OA) values of the investigated PCt-ABs for standard condition (25 °C) varied between 8.30 and 8.75 for Mono-; 8.71 and 9.92 for Di-; 9.58 and 10.72 for Tri-; 10.11 and 11.34 for Tetra-, 10.83 and 11.85 for Penta-; 11.24 and 12.36 for Hexa-; 11.87 and 12.66 for Hepta-; 12.31 and 12.97 for Octa-; 12.89 and 13.21 for Nona-Ct-ABs; and 13.17- and 13.49 for Deca-Ct-AB. PCt-ABs, in view of these log K(OA) values, can be classified as compounds of relatively low (Mono-, Di- and some of Tri- Ct-ABs with values of log K(OA) around 8 to 10) environmental mobility (most of Tri- to Nona-Ct-ABs and Deca-Ct-AB homologues with values of log K(OA) >10), and with a potential to be adsorbed by soil particles.
authors.affiliation: Institute of Environmental Sciences & Public Health, University of Gdańsk, Gdańsk, Poland.
authors.forename: Agata J
authors.initials: AJ
authors.lastname: Wilczyńska-Piliszek
authors.forename: Sławomir
authors.initials: S
authors.lastname: Piliszek
authors.forename: Jerzy
authors.initials: J
authors.lastname: Falandysz
mesh_terms: D020003:1-Octanol / Q000737:chemistry; D000388:Air / Q000032:analysis; D001391:Azo Compounds / Q000737:chemistry*; D003205:Computing Methodologies; D006540:Herbicides / Q000737:chemistry*; D008956:Models, Chemical; D015394:Molecular Structure; D016571:Neural Networks, Computer; D012984:Software
chemical_list: D001391:Azo Compounds; D006540:Herbicides; C009850:azobenzene; D020003:1-Octanol