Show simple item record

dc.contributor.authorFarhat, Nadia
dc.contributor.authorKim, Lan Hee
dc.contributor.authorVrouwenvelder, Johannes S.
dc.date.accessioned2020-03-31T11:59:51Z
dc.date.available2020-03-31T11:59:51Z
dc.date.issued2020-03-27
dc.date.submitted2019-12-01
dc.identifier.citationFarhat, N., Kim, L. H., & Vrouwenvelder, J. S. (2020). Online characterization of bacterial processes in drinking water systems. Npj Clean Water, 3(1). doi:10.1038/s41545-020-0065-7
dc.identifier.issn2059-7037
dc.identifier.doi10.1038/s41545-020-0065-7
dc.identifier.urihttp://hdl.handle.net/10754/662397
dc.description.abstractThe use of traditional drinking water microbial quality monitoring methods, including heterotrophic plate counts (HPCs) and total coliform counts, are not only laborious and time-consuming but also do not readily allow identification of risk areas in the network. Furthermore, if areas of concern are identified, and mitigation measures are taken, it takes days before the effectiveness of these measures is known. This study identified flow cytometry (FCM) as an online sensor technology for bacterial water quality monitoring in the distribution network. We monitored the total bacterial cell numbers and biodiversity in a drinking water distribution system (DWDS) using an online FCM. Two parallel online FCM monitoring systems were installed on two different locations at a drinking water treatment plant (DWTP; Saudi Arabia) supplying chlorinated water to the distribution and in the network 3.6 km away from the DWTP. The FCMs were operated at the same time in parallel to assess the biological stability in DWDSs. The flow cytometric data was compared with the conventional water quality detection methods (HPC and total coliforms). HPC and total coliforms were constantly below the detection limits, while the FCM provided detectable total cell count data and enabled the quantification of changes in the drinking water both with time and during distribution. Results demonstrate the value of FCM as a tool for compliance monitoring and risk assessment of DWDSs.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST).
dc.publisherSpringer Nature
dc.relation.urlhttp://www.nature.com/articles/s41545-020-0065-7
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleOnline characterization of bacterial processes in drinking water systems
dc.typeArticle
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Division of Biological and Environmental Science and Engineering (BESE), Thuwal 23955-6900, Saudi Arabia.
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.identifier.journalnpj Clean Water
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDelft University of Technology, Faculty of Applied Sciences, Department of Biotechnology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
dc.identifier.volume3
dc.identifier.issue1
kaust.personFarhat, Nadia M.
kaust.personKim, Lan Hee
kaust.personVrouwenvelder, Johannes S.
dc.date.accepted2020-03-12
refterms.dateFOA2020-03-31T12:01:56Z
dc.date.published-online2020-03-27
dc.date.published-print2020-01


Files in this item

Thumbnail
Name:
online characterization.pdf
Size:
1.876Mb
Format:
PDF
Description:
Published version

This item appears in the following Collection(s)

Show simple item record

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder