QSBR Study on the Anaerobic Biodegradation of Chlorophenols

18 Physicochemical and quantum chemical parameters of 12 kinds of chlorophenols are calculated in this paper. QSBR (quantitative structure-biodegradability relationship) study is performed using simca statistical software by PLS regression analysis method on anaerobic biodegradation data (logKb), and the QSBR model is developed with favorable prediction. The model shows that the size and energy of the molecule are the dominant factors affecting the anaerobic biodegradation of chlorophenols. And the degradation rate constants (logKb) increase with the increase of core-core repulsion (CCR), average molecular polarizability (α), total surface area (TSA), heat of formation (HOF) and total energy (TE), while decrease with the increase of molecular connectivity index (1XV), relative molecular mass (Mw) and electronic energy (EE).