The Development of a Prediction Model for the Kinetic Constant of Chlorinated Aliphatic Hydrocarbons

Abstract

Kinetic constants are important design parameters to determine the degradation of a substrate in biological treatment systems. The objective of this study was to develop a regression model using a quantitative structure-activity relationship technique for the prediction of the first-order rate constants (k) of chlorinated aliphatic hydrocarbons (CAHs). The prediction model showed very good correlations between the measured and calculated rate constants of CAHs. It was likely that the higher-order connectivity indices were important factors for the prediction of the kinetic constants, implying more complicated connectivity indices contributed to the prediction of a biological property. This technique would provide a useful tool to establish the kinetics of other CAHs without costly or time-consuming tests.

Kinetic Modelling and Half-Life Study on Enhanced Soil Bioremediation of Bonny Light Crude Oil Amended with Crop and Animal-Derived Organic Wastes

“…Bioremediation kinetic studies in a natural environment are often empirical, reflecting only the basic knowledge about the microbial density and its activity in the given environment [22]. The prediction of petroleum hydrocarbons biodegradation kinetics is difficult and complicated in most cases due to the fact that different components of crude oil such as aliphatic, aromatic and polycyclic compounds have different degradation rates [23,24]. This is why lighter crude oils (higher API gravity) normally have a faster biodegradation than heavy crude oils.…”

Kinetic modeling and half life study on bioremediation of crude oil dispersed by Corexit 9500

“…Thus, prediction of petroleum biodegradation kinetics is complicated and difficult in most cases. Furthermore due to differences in experimental techniques or data analysis, variations in the biokinetic constants have been reported for the same conditions [18].…”