Filtration behaviors and biocake formation mechanism of mesh filters used in membrane bioreactors

Wen Wei Li, Guo Ping Sheng, Yun Kun Wang, Xian Wei Liu, Juan Xu, Han Qing Yu

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Membrane bioreactors (MBRs) equipped with mesh material as the filter have recently attracted increasing interest worldwide for wastewater treatment. In such systems, the biocake formed on filter surface plays a unique and critical role during filtration, but the specific mechanism of biocake formation remains unclear so far. Here, we systematically explored the filtration behavior and biocake formation mechanism of mesh filters using both a lab-scale MBR and a newly-designed dead-end filtration unit. For a quantitative description of the biocake evolution process, a two-stage mechanism model was proposed according to the filtration characteristics. The fitness of this model was well demonstrated by dead-end filtration test, and its general applicability was validated by the filtration performances under varied filtration conditions and using different filter materials. Furthermore, the long-term filtration experiments in MBR demonstrated that the gradual accumulation of extracellular polymeric substances in the biocake finally led to irreversible fouling of mesh filters. This process of biocake evolution was also well supported by microscopic observations and filtration resistance analysis. This work offers an insight into the filtration characteristics and biocake formation mechanism of mesh filters, and may lay a theoretical foundation for future application of mesh filters and other coarse-pore materials in MBR wastewater treatment processes.

Original languageEnglish
Pages (from-to)472-479
Number of pages8
JournalSeparation and Purification Technology
Volume81
Issue number3
DOIs
StatePublished - 10 Oct 2011
Externally publishedYes

Keywords

  • Biocake
  • Extracellular polymeric substances (EPS)
  • Membrane bioreactors (MBRs)
  • Mesh filter
  • Two-stage model

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