Substrate Inhibition Kinetics Models for Fitting the Growth Rate of Phenol by an Acclimatized Mixed Bacterial Consortia from an Anaerobic Batch Reactor
DOI:
https://doi.org/10.54987/bessm.v7i1.902Keywords:
Substrate Inhibition Kinetics, Phenol, Mixed Bacterial Consortia, Anaerobic Batch Reactor, TeissierAbstract
Particularly hazardous among the numerous synthetic chemicals made by mankind is phenol. A considerable number of the over 80,000 chemicals manufactured in the United States for industrial purposes are phenol and phenolic compounds, which enter the environment without undergoing sufficient safety evaluation. The potential utilization of phenol as a carbon source by several species of bacteria renders bioremediation of this hazardous substance an auspicious prospect. Our research revealed that the growth rate of acclimatized mixed bacterial consortia from an anaerobic batch reactor was considerably inhibited when exposed to extremely high quantities of phenol. The growth parameter-specific growth rate was determined by employing the modified Gompertz primary growth model. In the present investigation, we extend our previous work by employing multiple substrate inhibition kinetic models—including Monod, Teissier, Haldane, Yano and Koga, Aiba, Han and Levenspiel, Luong, Moser, Webb, and Hinshelwood—to further model the effect of substrate or phenol on the growth rate of the bacterium. All cases exhibit significant fits, with the exception of the Luong and Hinshelwood models. The Haldane model exhibited a higher degree of correspondence with the growth rate data obtained at various concentrations of phenol, as determined by the statistical tests. The designated values of the Haldane constants were maximal reduction rate, half saturation constant for maximal reduction and half inhibition constant which are symbolized by max, Ks and Ki were 0.157 hr-1 (95% confidence interval 0.072 to 0.231), 32.042 mg/L (95% C.I. 14.603 to 49.480) and 234.095 mg/L (95% C.I. 181.83 to 286.17), respectively. The output of curve fitting interpolation should not be considered the true value, and the user should be duly informed of this as the true max should be the point at which the slope's gradient becomes zero; in this instance, the value was 0.095 h-1 at 50.1 mg/L phenol.
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