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Modelling phenol biodegradation by activated sludges evaluated through respirometric techniques.

Edgardo M Contreras¹, M Elisa Albertario, Nora C Bertola

¹Centro de Investigación y Desarrollo en Criotecnología de Alimentos (CIDCA), CONICET, Fac. de Cs. Exactas, UNLP, 47 y 116, B1900AJJ La Plata, Argentina. econtrer@quimica.unlp.edu.ar

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|March 11, 2008

Summary

This summary is machine-generated.

This study investigated phenol biodegradation kinetics using respirometry, finding pH significantly impacts oxygen uptake rate. A mathematical model was developed to predict bioreactor performance under varying conditions.

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Area of Science:

Environmental Microbiology
Biochemical Engineering
Wastewater Treatment

Background:

Phenolic compounds are common industrial pollutants requiring effective biodegradation strategies.
Understanding biodegradation kinetics under varying environmental conditions is crucial for optimizing treatment processes.
Activated sludge systems are widely used for treating phenolic wastewater, but their efficiency can be affected by factors like pH and dissolved oxygen.

Purpose of the Study:

To investigate the effects of pH, phenol concentration, and dissolved oxygen (DO) on phenol biodegradation kinetics by activated sludges.
To develop and validate a mathematical model for predicting phenol biodegradation in bioreactors.

Main Methods:

Respirometric techniques (closed and open respirometers) were employed to measure oxygen uptake rates (OUR).
Kinetic parameters were determined using established models like Monod and Haldane equations.
A mathematical model was developed and validated using experimental data under various conditions.

Main Results:

Phenol inhibited unacclimated sludge respiration, while acclimated sludges followed Haldane's substrate inhibition model.
The Monod equation accurately described the relationship between OUR and DO concentration for acclimated biomass.
Maximum OUR peaked at pH 9.5-10.5, with significant decreases at lower pH values, though the phenol oxidation coefficient remained constant across the tested pH range.

Conclusions:

pH is a critical factor influencing phenol biodegradation rates, with an optimal range identified for activated sludges.
The developed mathematical model accurately predicts oxygen uptake and DO profiles, offering a valuable tool for bioreactor design and operation.
The model is particularly useful for managing transient responses in bioreactors treating phenolic wastewater, especially under shock loads.