Evaluating flow cytometric metrics for enhancing microbial monitoring in drinking water treatment processes

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dc.contributor.authorClaveau, Leïla
dc.contributor.authorHudson, Neil
dc.contributor.authorJeffrey, Paul J.
dc.contributor.authorHassard, Francis
dc.date.accessioned2024-12-20T15:42:36Z
dc.date.available2024-12-20T15:42:36Z
dc.date.freetoread2024-12-20
dc.date.issued2025-01-01
dc.date.pubOnline2024-12-01
dc.description.abstractFlow cytometry (FCM) offers a rapid method for bacterial detection in drinking water but faces challenges in terms of data analysis, particularly gating subjectivity. This study evaluates three metrics derived from the Intact Cell Count (ICC): High/Low Nucleic Acid (HNA/LNA) ratios, Bray–Curtis Dissimilarity Index (BCDI), and FCM fingerprints—to enhance microbial monitoring approaches across different water treatment and distribution stages. ICC provided a direct assessment of microbial load in high cell count scenarios, while HNA/LNA ratios were valuable during low microbial levels. BCDI effectively tracked microbial population changes throughout treatment processes. A lead–lag analysis revealed that ICC changes often precede or coincide with BCDI changes and lead changes in HNA/LNA ratios. FCM fingerprinting visualized spatial and temporal variations in microbial communities. Combining these FCM metrics improved microbial water quality assessment and supports approaches to optimise water treatment strategies from a microbial perspective.
dc.description.journalNameJournal of Water Process Engineering
dc.description.sponsorshipEngineering and Physical Sciences Research Council
dc.description.sponsorshipThe UK Engineering and Physical Sciences Research Council (EPSRC) and South-East Water funded the work through an Engineering Doctoral Training Award (grant number: EP/L015412/1) to Leila Claveau.
dc.identifier.citationClaveau L, Hudson N, Jeffrey P, Hassard F. (2025) Evaluating flow cytometric metrics for enhancing microbial monitoring in drinking water treatment processes. Journal of Water Process Engineering, Volume 69, January 2025, Article number 106679en_UK
dc.identifier.eissn2214-7144
dc.identifier.elementsID560125
dc.identifier.issn2214-7144
dc.identifier.paperNo106679
dc.identifier.urihttps://doi.org/10.1016/j.jwpe.2024.106679
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23299
dc.identifier.volumeNo69
dc.languageEnglish
dc.language.isoen
dc.publisherElsevieren_UK
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2214714424019111?via%3Dihub
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4004 Chemical Engineeringen_UK
dc.subject4005 Civil Engineeringen_UK
dc.subject40 Engineeringen_UK
dc.subject4011 Environmental Engineeringen_UK
dc.subject6 Clean Water and Sanitationen_UK
dc.subjectFlow cytometryen_UK
dc.subjectDrinking wateren_UK
dc.subjectMicrobial monitoringen_UK
dc.subjectIntact cell counten_UK
dc.subjectBray–Curtis dissimilarity indexen_UK
dc.subjectHNA/LNA ratiosen_UK
dc.titleEvaluating flow cytometric metrics for enhancing microbial monitoring in drinking water treatment processesen_UK
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-11-26

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