The effects of hydraulic retention time and loading rate on brewery wastewater treatment using sequencing batch reactors

Factorial experimental designs for enhancement of concurrent poly(hydroxyalkanoate) production and brewery wastewater treatment

The influence of four main process parameters--solids retention time (SRT), hydraulic retention time (HRT), anoxic-oxic cycling, and carbon-to-nitrogen ratio (C/N ratio)--on poly(hydroxyalkanoate) (PHA) production, while treating brewery wastewater, was studied. Two sets of two-level, three-factor experimental designs were implemented to (1) determine the effects and interactions among process parameters, (2) assess their significance to PHA production, and (3) approximate optimal operational conditions. The HRT and SRT were found to be the crucial operational parameters affecting PHA production. The highest PHA content of 55% (on a cell-weight basis) was produced at a 4-day HRT and 4-day SRT, whereas a maximum PHA concentration of 907 mg/L was obtained at a 2-day HRT and 12-day SRT. The effect of anoxic conditions on PHA production was insignificant. The C/N ratio played a more important role in the PHA concentration in the system than in the PHA content in the biomass.

Comparison of PCR-DGGE and Selective Plating Methods for Monitoring the Dynamics of a Mixed Culture Population in Synthetic Brewery Wastewater

Enrichment of an activated sludge inoculum in synthetic brewery wastewater, which included glucose, maltose, and ethanol, was conducted in batch experiments to identify the dominant microbes present, to determine methodologies capable of monitoring the mixed culture population dynamics, and to determine the consortium's substrate degradation behavior. These results and methodologies were subsequently used in the determination of the population dynamics of suspended and attached microorganisms in a sequencing batch system in the second part of this research work. The three-membered microbial community comprised two bacterial and one fungal species that were identified as Acinetobacter sp., Enterobacter sp., and Candida sp. PCR-DGGE and plating on selective media were used to track the population dynamics of the consortium during the degradation of different substrates in synthetic wastewater containing glucose, maltose, and ethanol. Enterobacter sp. could degrade glucose and maltose but not ethanol, whereas Acinetobacter and Candida could degrade all three carbon sources. In buffered batch mixed culture experiments, Enterobacter was the predominant bacterium until the sugar concentrations decreased to levels that enabled Acinetobacter and Candida to degrade ethanol. PCR-DGGE was effective for detecting the dominant species, but culture-based methods were more accurate for monitoring the population dynamics of these microorganisms during growth in the wastewater medium.