Literature DB >> 24908577

Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters.

Sarah-Jane Haig1, Christopher Quince2, Robert L Davies3, Caetano C Dorea4, Gavin Collins5.   

Abstract

Previous laboratory-scale studies to characterise the functional microbial ecology of slow sand filters have suffered from methodological limitations that could compromise their relevance to full-scale systems. Therefore, to ascertain if laboratory-scale slow sand filters (L-SSFs) can replicate the microbial community and water quality production of industrially operated full-scale slow sand filters (I-SSFs), eight cylindrical L-SSFs were constructed and were used to treat water from the same source as the I-SSFs. Half of the L-SSFs sand beds were composed of sterilized sand (sterile) from the industrial filters and the other half with sand taken directly from the same industrial filter (non-sterile). All filters were operated for 10 weeks, with the microbial community and water quality parameters sampled and analysed weekly. To characterize the microbial community phyla-specific qPCR assays and 454 pyrosequencing of the 16S rRNA gene were used in conjunction with an array of statistical techniques. The results demonstrate that it is possible to mimic both the water quality production and the structure of the microbial community of full-scale filters in the laboratory - at all levels of taxonomic classification except OTU - thus allowing comparison of LSSF experiments with full-scale units. Further, it was found that the sand type composing the filter bed (non-sterile or sterile), the water quality produced, the age of the filters and the depth of sand samples were all significant factors in explaining observed differences in the structure of the microbial consortia. This study is the first to the authors' knowledge that demonstrates that scaled-down slow sand filters can accurately reproduce the water quality and microbial consortia of full-scale slow sand filters.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drinking water; Evenness; Multivariate analysis; Slow sand filter; Spatial change; Temporal change

Mesh:

Substances:

Year:  2014        PMID: 24908577     DOI: 10.1016/j.watres.2014.05.008

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


  8 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.  Stable-isotope probing and metagenomics reveal predation by protozoa drives E. coli removal in slow sand filters.

Authors:  Sarah-Jane Haig; Melanie Schirmer; Rosalinda D'Amore; Joseph Gibbs; Robert L Davies; Gavin Collins; Christopher Quince
Journal:  ISME J       Date:  2015-03-17       Impact factor: 10.302

3.  Bioaugmentation Mitigates the Impact of Estrogen on Coliform-Grazing Protozoa in Slow Sand Filters.

Authors:  Sarah-Jane Haig; Caroline Gauchotte-Lindsay; Gavin Collins; Christopher Quince
Journal:  Environ Sci Technol       Date:  2016-03-03       Impact factor: 9.028

4.  The relationship between microbial community evenness and function in slow sand filters.

Authors:  Sarah-Jane Haig; Christopher Quince; Robert L Davies; Caetano C Dorea; Gavin Collins
Journal:  mBio       Date:  2015-10-13       Impact factor: 7.867

5.  A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and Mycobacterium avium.

Authors:  Sarah-Jane Haig; Nadine Kotlarz; John J LiPuma; Lutgarde Raskin
Journal:  MBio       Date:  2018-02-13       Impact factor: 7.867

6.  Application of a novel, continuous-feeding ultraviolet light emitting diode (UV-LED) system to disinfect domestic wastewater for discharge or agricultural reuse.

Authors:  Thi Minh Hong Nguyen; Poonyanooch Suwan; Thammarat Koottatep; Sara E Beck
Journal:  Water Res       Date:  2019-01-16       Impact factor: 11.236

7.  Polarization of microbial communities between competitive and cooperative metabolism.

Authors:  Daniel Machado; Oleksandr M Maistrenko; Sergej Andrejev; Yongkyu Kim; Peer Bork; Kaustubh R Patil; Kiran R Patil
Journal:  Nat Ecol Evol       Date:  2021-01-04       Impact factor: 15.460

Review 8.  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

  8 in total

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