Project description:Membrane bioreactor (MBR) systems are typically known different from conventional activated sludge (CAS) systems in operational parameters, while current knowledge of their microbial differentiations is barely sufficient. To this end, the current study was launched to address the differences of the overall functional genes of an oxidation ditch (OD) and an MBR running parallelly at full-scale using a functional gene array-GeoChip 4.2. Two full-scale wastewater treatment systems applying the processes of oxidation ditch (OD) and membrane bioreactor (MBR) were investigated. They treated identical wastewater at the same scale. 12 mixed-liquor suspended sludge (MLSS) samples collected daily on 12 consecutive days from each system were analyzed by GeoChip 4.2.
Project description:we collected Prepared Daqu samples from 6 different production cycles of the Kweichow Moutai Liquor and characterized their microbial community and function by label-free quantitative metaproteomic methods.
2022-08-03 | PXD035791 | iProX
Project description:Biofouling formation and bacterial community structure in hybrid moving bed biofilm reactor-membrane bioreactors: influence of salinity concentration
Project description:The transcriptome of P. aeruginosa PA01 biofilm cells was compared to the associated suspended culture, upon growth on reverse osmosis membrane coupon under limited nutrient conditions. Experiment Overall Design: Cells were collected from the RO unit and from the membrane coupon after 20 hours of growth and biofouling of the membrane. A defined media was used, resembeling secondary wastewaters.
Project description:In this study, microbial communities from triplicate leach-bed anaerobic bioreactors digesting grass were analysed. Each reactor comprised two microbial fractions, one immobilized on grass (biofilm) and the other in a planktonic state present in the leachate. Microbial communities from the two fractions were systematically investigated for community composition and function. This was carried out using DNA, RNA and protein co-extraction. The microbial structure of each fraction was examined using 16S rRNA deep sequencing, while the active members of the consortia were identified using the same approach on cDNA generated from co-extracted RNA samples. Microbial function was investigated using a metaproteomic workflow combining SDS-PAGE and LC-MS/MS analysis.
