Abstract
Strain NB-1, which can efficiently degrade nitrobenzene, was identified as Pseudomonas frederiksbergensis. NB-1 was resistant to cold and alkali with the widest temperature (4°C–35°C) and pH (5–11) adaptive range, compared with other reported nitrobenzene-degrading microorganisms. Based on the Haldane-Andrews model, the real maximum specific growth rate μm’, specific affinity aA, and inhibition coefficient Ki were used in response surface methodology (RSM) simultaneously for the first time to guide NB-1 to treat nitrobenzene wastewater. According to the RSM model, the environmental factors (temperature, pH, salinity) corresponding to the optimal values of μm’, aA, and Ki were determined. By comparing the specific growth rates corresponding to the optimal values of μm’, aA, and Ki, respectively, the optimum growth conditions of NB-1 were determined under different nitrobenzene concentrations. The study of μm’, aA, and Ki by RSM provided a new approach for a more accurate optimization of biological wastewater treatment conditions.
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