Determination of the Apparent Reaction Rate Constants for Ozone Degradation of Substituted Phenols and QSPR/QSAR Analysis

Liu, H.; Tan, J.; Yu, H.X.; Liu, H.X.; Wang, L.S.; Wang, Z.Y.

doi:10.22059/ijer.2010.236

Determination of the Apparent Reaction Rate Constants for Ozone Degradation of Substituted Phenols and QSPR/QSAR Analysis

Authors

H. Liu ¹

J. Tan ¹

H.X. Yu ¹

H.X. Liu ¹

L.S. Wang ²

Z.Y. Wang ²

¹ School of Biological and Chemical Engineering, Jiaxing University, Zhejiang Jiaxing, 314001, Peopleâ€™s Republic of China

² State Key Laboratory of Pollution Control and Resources Reuse, School of Environment, Nanjing University, Jiangsu Nanjing 210093, Peopleâ€™s Republic of China

10.22059/ijer.2010.236

Abstract

Although extensive experimental work has been carried out during the last several years, experimental reaction rate constants are available only for hundreds of compounds. Therefore, it is useful to develop a theoretical prediction method, which can be used to obtain estimates of the necessary kinetic parameters. One of the most successful approaches to predict chemical properties starting only from molecular structural information is quantitative structureâ€“activity/property relationships modeling (QSAR/QSPR). The purpose of this paper is to study the relationships between concentrations of 26 substituted phenols and reaction times during the ozonation process and determine the reaction orders and apparent reaction rate constants (-lgkÂ´). Then, optimized geometries of the substituted phenols were carried out at the B3LYP/6-311G** level using the Gaussian 03 software package. The structural and thermodynamic parameters obtained were taken as theoretical descriptors to establish a novel QSPR/QSAR model for -lgkÂ´ of the substituted phenols, with a regression coefficient R = 0.909 and standard deviation SD = 0.141. Finally, the stability of the model for -lgkÂ´ predictions was checked by the t-test, showing satisfactory results. Results obtained reveal the reliability of QSPR/QSAR model for the prediction of ozone degradations rate constant of organic compounds.

Keywords

Ozonation

Degradation rate

Density functional theory (DFT)

Multiple linear regressions

Structural and thermodynamic parameters

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