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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water research (Oxford) 2014-09, Vol.61, p.141-151
Hauptverfasser: Haig, Sarah-Jane, Quince, Christopher, Davies, Robert L., Dorea, Caetano C., Collins, Gavin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 151
container_issue
container_start_page 141
container_title Water research (Oxford)
container_volume 61
creator Haig, Sarah-Jane
Quince, Christopher
Davies, Robert L.
Dorea, Caetano C.
Collins, Gavin
description 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. [Display omitted] •Slow sand filter community very diverse and complex.•Performance of industrial slow sand filters is replicated in labscale filters.•Microbial community of industrial slow sand filters is mimicked in labscale filters.•Age, type and depth of samples explain differences in community.•Filter performance improves with age.
doi_str_mv 10.1016/j.watres.2014.05.008
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1919959369</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0043135414003534</els_id><sourcerecordid>1627958511</sourcerecordid><originalsourceid>FETCH-LOGICAL-c524t-51d109800b66f8952ba611a34f9c22dd10df3de8e177ae89587d04a766e051403</originalsourceid><addsrcrecordid>eNqNkkuLFDEUhQtRnHb0H4hkI7ipNknluRFk8AUDgug6pFI3miZV6UmqHHrhfzdFl7pzZhXI_c69B85pmucE7wkm4vVhf2vnDGVPMWF7zPcYqwfNjiipW8qYetjsMGZdSzrOLponpRwwxpR2-nFzQZnGiku5a359gWMMzs5h-o7mH4DG4HLqg43IpXFcpjCfkJ0GVI9BRjeLjevPEbJPebSTA5Q88kuMbXE2Aiox3aKyKnyIVVJQmFC0fcp2Tvm0UdvsafPI21jg2fZeNt_ev_t69bG9_vzh09Xb69ZxyuaWk4FgrTDuhfBKc9pbQYjtmNeO0qEOB98NoIBIaaECSg6YWSkEYE4Y7i6bV-e9x5xuFiizGUNxEKOdIC3FEE205roT-p5oV83cjQpGqaR17z1QKqttTsjdKGeaqGqAVZSd0RpZKRm8OeYw2nwyBJu1JOZgziUxa0kM5qaWpMpebBeWfoThr-hPKyrwcgPsGpfPNedQ_nFKCCaZqNybMwc1u58BsikuQO3EEDK42Qwp_N_JbyAb3D8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1549183804</pqid></control><display><type>article</type><title>Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Haig, Sarah-Jane ; Quince, Christopher ; Davies, Robert L. ; Dorea, Caetano C. ; Collins, Gavin</creator><creatorcontrib>Haig, Sarah-Jane ; Quince, Christopher ; Davies, Robert L. ; Dorea, Caetano C. ; Collins, Gavin</creatorcontrib><description>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. [Display omitted] •Slow sand filter community very diverse and complex.•Performance of industrial slow sand filters is replicated in labscale filters.•Microbial community of industrial slow sand filters is mimicked in labscale filters.•Age, type and depth of samples explain differences in community.•Filter performance improves with age.</description><identifier>ISSN: 0043-1354</identifier><identifier>EISSN: 1879-2448</identifier><identifier>DOI: 10.1016/j.watres.2014.05.008</identifier><identifier>PMID: 24908577</identifier><identifier>CODEN: WATRAG</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Arrays ; Bacteria - classification ; Bacteria - genetics ; Bacteria - isolation &amp; purification ; Communities ; Consortia ; DNA, Bacterial - genetics ; Drinking water ; Drinking water and swimming-pool water. Desalination ; Evenness ; Exact sciences and technology ; Filtration ; Microbiota ; Microorganisms ; Multivariate analysis ; Pollution ; RNA, Ribosomal, 16S - genetics ; Samples ; Sand ; Silicon Dioxide - chemistry ; Slow sand filter ; Spatial change ; Statistical methods ; Temporal change ; Water Microbiology ; Water Purification - methods ; Water Quality ; Water treatment and pollution</subject><ispartof>Water research (Oxford), 2014-09, Vol.61, p.141-151</ispartof><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c524t-51d109800b66f8952ba611a34f9c22dd10df3de8e177ae89587d04a766e051403</citedby><cites>FETCH-LOGICAL-c524t-51d109800b66f8952ba611a34f9c22dd10df3de8e177ae89587d04a766e051403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.watres.2014.05.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=28664746$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24908577$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Haig, Sarah-Jane</creatorcontrib><creatorcontrib>Quince, Christopher</creatorcontrib><creatorcontrib>Davies, Robert L.</creatorcontrib><creatorcontrib>Dorea, Caetano C.</creatorcontrib><creatorcontrib>Collins, Gavin</creatorcontrib><title>Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters</title><title>Water research (Oxford)</title><addtitle>Water Res</addtitle><description>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. [Display omitted] •Slow sand filter community very diverse and complex.•Performance of industrial slow sand filters is replicated in labscale filters.•Microbial community of industrial slow sand filters is mimicked in labscale filters.•Age, type and depth of samples explain differences in community.•Filter performance improves with age.</description><subject>Applied sciences</subject><subject>Arrays</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Bacteria - isolation &amp; purification</subject><subject>Communities</subject><subject>Consortia</subject><subject>DNA, Bacterial - genetics</subject><subject>Drinking water</subject><subject>Drinking water and swimming-pool water. Desalination</subject><subject>Evenness</subject><subject>Exact sciences and technology</subject><subject>Filtration</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Multivariate analysis</subject><subject>Pollution</subject><subject>RNA, Ribosomal, 16S - genetics</subject><subject>Samples</subject><subject>Sand</subject><subject>Silicon Dioxide - chemistry</subject><subject>Slow sand filter</subject><subject>Spatial change</subject><subject>Statistical methods</subject><subject>Temporal change</subject><subject>Water Microbiology</subject><subject>Water Purification - methods</subject><subject>Water Quality</subject><subject>Water treatment and pollution</subject><issn>0043-1354</issn><issn>1879-2448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkkuLFDEUhQtRnHb0H4hkI7ipNknluRFk8AUDgug6pFI3miZV6UmqHHrhfzdFl7pzZhXI_c69B85pmucE7wkm4vVhf2vnDGVPMWF7zPcYqwfNjiipW8qYetjsMGZdSzrOLponpRwwxpR2-nFzQZnGiku5a359gWMMzs5h-o7mH4DG4HLqg43IpXFcpjCfkJ0GVI9BRjeLjevPEbJPebSTA5Q88kuMbXE2Aiox3aKyKnyIVVJQmFC0fcp2Tvm0UdvsafPI21jg2fZeNt_ev_t69bG9_vzh09Xb69ZxyuaWk4FgrTDuhfBKc9pbQYjtmNeO0qEOB98NoIBIaaECSg6YWSkEYE4Y7i6bV-e9x5xuFiizGUNxEKOdIC3FEE205roT-p5oV83cjQpGqaR17z1QKqttTsjdKGeaqGqAVZSd0RpZKRm8OeYw2nwyBJu1JOZgziUxa0kM5qaWpMpebBeWfoThr-hPKyrwcgPsGpfPNedQ_nFKCCaZqNybMwc1u58BsikuQO3EEDK42Qwp_N_JbyAb3D8</recordid><startdate>20140915</startdate><enddate>20140915</enddate><creator>Haig, Sarah-Jane</creator><creator>Quince, Christopher</creator><creator>Davies, Robert L.</creator><creator>Dorea, Caetano C.</creator><creator>Collins, Gavin</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QH</scope><scope>7ST</scope><scope>7T7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>L.G</scope><scope>P64</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>20140915</creationdate><title>Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters</title><author>Haig, Sarah-Jane ; Quince, Christopher ; Davies, Robert L. ; Dorea, Caetano C. ; Collins, Gavin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c524t-51d109800b66f8952ba611a34f9c22dd10df3de8e177ae89587d04a766e051403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Arrays</topic><topic>Bacteria - classification</topic><topic>Bacteria - genetics</topic><topic>Bacteria - isolation &amp; purification</topic><topic>Communities</topic><topic>Consortia</topic><topic>DNA, Bacterial - genetics</topic><topic>Drinking water</topic><topic>Drinking water and swimming-pool water. Desalination</topic><topic>Evenness</topic><topic>Exact sciences and technology</topic><topic>Filtration</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Multivariate analysis</topic><topic>Pollution</topic><topic>RNA, Ribosomal, 16S - genetics</topic><topic>Samples</topic><topic>Sand</topic><topic>Silicon Dioxide - chemistry</topic><topic>Slow sand filter</topic><topic>Spatial change</topic><topic>Statistical methods</topic><topic>Temporal change</topic><topic>Water Microbiology</topic><topic>Water Purification - methods</topic><topic>Water Quality</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haig, Sarah-Jane</creatorcontrib><creatorcontrib>Quince, Christopher</creatorcontrib><creatorcontrib>Davies, Robert L.</creatorcontrib><creatorcontrib>Dorea, Caetano C.</creatorcontrib><creatorcontrib>Collins, Gavin</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Water research (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haig, Sarah-Jane</au><au>Quince, Christopher</au><au>Davies, Robert L.</au><au>Dorea, Caetano C.</au><au>Collins, Gavin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters</atitle><jtitle>Water research (Oxford)</jtitle><addtitle>Water Res</addtitle><date>2014-09-15</date><risdate>2014</risdate><volume>61</volume><spage>141</spage><epage>151</epage><pages>141-151</pages><issn>0043-1354</issn><eissn>1879-2448</eissn><coden>WATRAG</coden><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. [Display omitted] •Slow sand filter community very diverse and complex.•Performance of industrial slow sand filters is replicated in labscale filters.•Microbial community of industrial slow sand filters is mimicked in labscale filters.•Age, type and depth of samples explain differences in community.•Filter performance improves with age.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>24908577</pmid><doi>10.1016/j.watres.2014.05.008</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0043-1354
ispartof Water research (Oxford), 2014-09, Vol.61, p.141-151
issn 0043-1354
1879-2448
language eng
recordid cdi_proquest_miscellaneous_1919959369
source MEDLINE; Elsevier ScienceDirect Journals
subjects Applied sciences
Arrays
Bacteria - classification
Bacteria - genetics
Bacteria - isolation & purification
Communities
Consortia
DNA, Bacterial - genetics
Drinking water
Drinking water and swimming-pool water. Desalination
Evenness
Exact sciences and technology
Filtration
Microbiota
Microorganisms
Multivariate analysis
Pollution
RNA, Ribosomal, 16S - genetics
Samples
Sand
Silicon Dioxide - chemistry
Slow sand filter
Spatial change
Statistical methods
Temporal change
Water Microbiology
Water Purification - methods
Water Quality
Water treatment and pollution
title Replicating the microbial community and water quality performance of full-scale slow sand filters in laboratory-scale filters
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T12%3A04%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Replicating%20the%20microbial%20community%20and%20water%20quality%20performance%20of%20full-scale%20slow%20sand%20filters%20in%20laboratory-scale%20filters&rft.jtitle=Water%20research%20(Oxford)&rft.au=Haig,%20Sarah-Jane&rft.date=2014-09-15&rft.volume=61&rft.spage=141&rft.epage=151&rft.pages=141-151&rft.issn=0043-1354&rft.eissn=1879-2448&rft.coden=WATRAG&rft_id=info:doi/10.1016/j.watres.2014.05.008&rft_dat=%3Cproquest_cross%3E1627958511%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1549183804&rft_id=info:pmid/24908577&rft_els_id=S0043135414003534&rfr_iscdi=true