Molecular-based detection of potentially pathogenic bacteria in membrane bioreactor (MBR) systems treating municipal wastewater: a case study
KAUST DepartmentWater Desalination and Reuse Research Center (WDRC)
KAUST Grant NumberFCC/1/1971-06-01
Permanent link to this recordhttp://hdl.handle.net/10754/622073
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AbstractAlthough membrane bioreactor (MBR) systems provide better removal of pathogens compared to conventional activated sludge processes, they do not achieve total log removal. The present study examines two MBR systems treating municipal wastewater, one a full-scale MBR plant and the other a lab-scale anaerobic MBR. Both of these systems were operated using microfiltration (MF) polymeric membranes. High-throughput sequencing and digital PCR quantification were utilized to monitor the log removal values (LRVs) of associated pathogenic species and their abundance in the MBR effluents. Results showed that specific removal rates vary widely regardless of the system employed. Each of the two MBR effluents’ microbial communities contained genera associated with opportunistic pathogens (e.g., Pseudomonas, Acinetobacter) with a wide range of log reduction values (< 2 to >5.5). Digital PCR further confirmed that these bacterial groups included pathogenic species, in several instances at LRVs different than those for their respective genera. These results were used to evaluate the potential risks associated both with the reuse of the MBR effluents for irrigation purposes and with land application of the activated sludge from the full-scale MBR system.
CitationHarb M, Hong P-Y (2016) Molecular-based detection of potentially pathogenic bacteria in membrane bioreactor (MBR) systems treating municipal wastewater: a case study. Environmental Science and Pollution Research. Available: http://dx.doi.org/10.1007/s11356-016-8211-y.
SponsorsThe research reported in this publication was supported by the KAUST Center Competitive Funding Program grant (FCC/1/1971-06-01) awarded to P-Y Hong. The authors would like to thank Mr. George Princeton Dunsford for access to the KAUST wastewater treatment plant and Dr. Muhammad Raihan Jumat for providing sampling assistance.
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