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• W4296312595 abstract "Biofilms serve to house diverse microbial communities, which are responsible for the majority of wastewater constituent degradation and transformation in treatment wetlands (TWs). TW biofilm has been generally conceptualized as a relatively uniform film covering available surfaces. However, no studies attaining direct visual 3D representations of biofilm morphology have been conducted. This study focuses on imaging the morphology of detached, gravel-associated, and rhizospheric (Phalaris arundinacea) biofilms from subsurface TW mesocosms. Images obtained through both traditional light microscopy, environmental scanning electron microscopy (E-SEM) and Wet-SEM revealed that TW biofilms are structurally heterogeneous ranging from corrugated films to clusters of aggregates. Features such as water channels and pores were observed suggesting that pollutant transport inside biofilms is complex, and that the interfacial surface area between water and biofilm is much larger than previously understood. Biofilm thickness generally ranged between 170 and 240 μm, with internal biofilm porosities estimated as 34 ± 10 %, reaching a maximum of 50 %. Internal biofilm matrix pore diameters ranged from 1 to 205.2 μm, with a distribution that favored pores and channels smaller than 10 μm, and a mean equivalent spherical diameter of 8.6 μm. Based on the large variation in pore and channel sizes it is expected that a variety of flow regimes and therefore pollutant dynamics are likely to occur inside TW biofilm matrices. Based on the visual evidence and analysis, a new conceptual model was created to reflect the microscale TW biofilm dynamics and morphology. This new conceptual model will serve to inform future biokinetic modelling, microscale hydrology, microbial community assessment, and pollutant treatment studies." @default.
• W4296312595 created "2022-09-20" @default.
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• W4296312595 date "2023-01-01" @default.
• W4296312595 modified "2023-10-14" @default.
• W4296312595 title "Peaks, pores, and dragon eggs: Uncovering and quantifying the heterogeneity of treatment wetland biofilm matrices" @default.
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• W4296312595 doi "https://doi.org/10.1016/j.scitotenv.2022.158857" @default.
• W4296312595 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36126711" @default.
• W4296312595 hasPublicationYear "2023" @default.
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