AI Article Synopsis

  • The study explored how different organic carbon sources—sodium acetate, glucose, and starch—impact soluble microbial products (SMP) in sequencing batch reactors (SBR) and the subsequent membrane fouling in ultrafiltration (UF).
  • SMP characteristics were analyzed using advanced methods and revealed that sodium acetate produced more protein-like and larger aliphatic biopolymer components, while starch led to SMP rich in humic-like fluorescence, affecting fouling rates differently.
  • The findings highlight the importance of carbon source selection in biological treatment systems, showing that membrane fouling is influenced not only by size exclusion but also by chemical interactions, which could aid in optimizing treatment designs and operations for better efficiency.

Article Abstract

This study investigated the influence of three different organic carbon sources including sodium acetate (SOD), glucose (GLU), and starch (STAR), on soluble microbial products (SMP), which presumably have dissimilar uptake rates and metabolic pathways, in sequencing batch reactors (SBR) and their subsequent effects on membrane fouling of ultrafiltration (UF). SMP were mainly characterized by fluorescence excitation emission matrix coupled with parallel factor analysis (EEM-PARAFAC) and size exclusion chromatography (SEC). SMP produced in SOD-fed SBR showed higher abundances of protein-like fluorescent component and large sized aliphatic biopolymer (BP) than GLU- or STAR-fed counterpart did, while the STAR-based operation resulted in more SMP enriched with humic-like fluorescence. The differences in SMP exerted marked effects on UF membrane fouling as indicated by the highest fouling potential with reversibility shown for the SMP from the SOD-fed reactor. Regardless of the carbon source, BP fraction and protein-like component exhibited the greatest extent of reversible fouling, suggesting that size exclusion plays a critical role. However, notable differences in the reversible fouling propensity of relatively smaller size fractions among the three SBRs signified the possible involvement of chemical interactions as a secondary fouling mechanism and its dependency on different carbon sources. Our results provide a new insight into the roles of carbon sources in the characteristics of SMP in biological treatment systems and their effects on the post-treatment using membrane filtration, which is ultimately beneficial to the optimization of biological treatment design and membrane filtration operation.

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http://dx.doi.org/10.1016/j.jenvman.2019.05.045DOI Listing

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