Literature DB >> 29571086

Monitoring biofilm function in new and matured full-scale slow sand filters using flow cytometric histogram image comparison (CHIC).

Sandy Chan1, Kristjan Pullerits2, Janine Riechelmann3, Kenneth M Persson4, Peter Rådström5, Catherine J Paul6.   

Abstract

While slow sand filters (SSFs) have produced drinking water for more than a hundred years, understanding of their associated microbial communities is limited. In this study, bacteria in influent and effluent water from full-scale SSFs were explored using flow cytometry (FCM) with cytometric histogram image comparison (CHIC) analysis; and routine microbial counts for heterotrophs, total coliforms and Escherichia coli. To assess if FCM can monitor biofilm function, SSFs differing in age and sand composition were compared. FCM profiles from two established filters were indistinguishable. To examine biofilm in the deep sand bed, SSFs were monitored during a scraping event, when the top layer of sand and the schmutzdecke are removed to restore flow through the filter. The performance of an established SSF was stable: total organic carbon (TOC), pH, numbers of heterotrophs, coliforms, E. coli, and FCM bacterial profile were unaffected by scraping. However, the performance of two newly-built SSFs containing new and mixed sand was compromised: breakthrough of both microbial indicators and TOC occurred following scraping. The compromised performance of the new SSFs was reflected in distinct effluent bacterial communities; and, the presence of microbial indicators correlated to influent bacterial communities. This demonstrated that FCM can monitor SSF performance. Removal of the top layer of sand did not alter the effluent water from the established SSF, but did affect that of the SSFs containing new sand. This suggests that the impact of the surface biofilm on effluent water is greater when the deep sand bed biofilm is not established.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biofilm; Cytometric histogram image comparison (CHIC); Drinking water; Flow cytometry; Schmutzdecke; Slow sand filters

Mesh:

Substances:

Year:  2018        PMID: 29571086     DOI: 10.1016/j.watres.2018.03.032

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

1.  Microbial Dynamics of Biosand Filters and Contributions of the Microbial Food Web to Effective Treatment of Wastewater-Impacted Water Sources.

Authors:  Tara M Webster; Noah Fierer
Journal:  Appl Environ Microbiol       Date:  2019-08-14       Impact factor: 4.792

2.  Bacterial release from pipe biofilm in a full-scale drinking water distribution system.

Authors:  Sandy Chan; Kristjan Pullerits; Alexander Keucken; Kenneth M Persson; Catherine J Paul; Peter Rådström
Journal:  NPJ Biofilms Microbiomes       Date:  2019-02-22       Impact factor: 7.290

Review 3.  Computational Analysis of Microbial Flow Cytometry Data.

Authors:  Peter Rubbens; Ruben Props
Journal:  mSystems       Date:  2021-01-19       Impact factor: 6.496

Review 4.  Microbial ecology of biofiltration used for producing safe drinking water.

Authors:  Xi Bai; Inez J T Dinkla; Gerard Muyzer
Journal:  Appl Microbiol Biotechnol       Date:  2022-06-30       Impact factor: 5.560

  4 in total

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