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...
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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 |
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[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 & 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>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28664746$$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 & 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 & 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 & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & 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> |
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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 |
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