Article ID Journal Published Year Pages File Type
6302137 Ecological Engineering 2014 6 Pages PDF
Abstract

•The microorganism Streptococcus equisimilis was used for the removal of diethylketone.•The removal percentages obtained with concentrated biomass were around 100%.•Results show that the system can be applied to diethylketone solutions.•The experimental data is well fitted by the Loung and Haldane models.•Diethylketone is degraded to acetate species probably catalyzed by carboxylases.

The degradation of diethylketone by Streptococcus equisimilis was evaluated. The toxicity of diethylketone was assessed evaluating the growth of the bacteria for the range of diethylketone concentration between 0 and 6.4 g L−1. The maximum specific growth rate achieved is 0.555 h−1 at 3.2 g L−1 of initial diethylketone concentration, followed by a slight decrease, suggesting that higher concentrations of diethylketone negatively affect the growth. The biodegradation efficiency (%) obtained was approximately 95%, for all the initial concentrations tested. The kinetic parameters were estimated using Monod, Powell, Haldane and Loung models. The experimental data is well fitted by the Loung and Haldane models, R2 = 0.98 for both, as compared to Monod model (R2 = 0.79) and Powell model (R2 = 0.72). Once the previous intrinsic functions were established, a set of assays was also performed to evaluate the biodegradation of diethylketone using concentrated biomass for initial diethylketone concentrations ranging from 0.8 to 3.9 g L−1 in a bioreactor operating in batch mode with recirculation. These concentrated biomass assays aimed the optimization of operational conditions. The removal percentages obtained were approximately 100%, for all the initial ketone concentrations tested and the biodegradation rate followed the pseudo-second order kinetics. The mechanism involved in the degradation of diethylketone by this microorganism is not completely understood, but an approach to the metabolic degradation pathway was established by the identification of the metabolites involved on the process.

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