Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants

Abstract Biofouling poses a serious concern for the district cooling (DC) industry. Current industry practises for monitoring biofouling continue to rely on culture-based methods for microbial enumeration, which are ultimately flawed. Computational flow cytometric (cFCM) analyses, which offer enhanc...

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Autores principales:	J. M. W. R. McElhinney, A. Mawart, R. S. S. M. Alkaabi, H. S. S. Abdelsamad, A. M. Mansour, A. Hasan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0e76fa947e634bf6b851b4204af4138c
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spelling	oai:doaj.org-article:0e76fa947e634bf6b851b4204af4138c2021-12-02T16:35:41ZComputational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants10.1038/s41598-020-70198-52045-2322https://doaj.org/article/0e76fa947e634bf6b851b4204af4138c2020-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-70198-5https://doaj.org/toc/2045-2322Abstract Biofouling poses a serious concern for the district cooling (DC) industry. Current industry practises for monitoring biofouling continue to rely on culture-based methods for microbial enumeration, which are ultimately flawed. Computational flow cytometric (cFCM) analyses, which offer enhanced reproducibility and streamlined analytics versus conventional flow cytometry were applied to samples taken from 3 sites in each of 3 plants over a 5-week sampling program. We asked whether the application of cFCM to monitoring planktonic community dynamics in DC plants could be able to provide sufficient information to enhance microbiological-control strategies at site and inform about plant performance impacts. The use of cFCM enabled the evaluation of biocide dosing, deep cleaning treatment efficiencies and routes of microbial ingress into the studied systems. Additionally, inherent risks arising from the reintroduction of microbiological communities into recently cleaned WCT basins from contaminated cooling waters were identified. However, short-term dynamics did not relate with plant performance metrics. In summary, the insights offered by this approach can inform on plant status, enable evaluations of microbial loads during biofouling mitigation programs and, ultimately, enhance industry management of the biofouling process.J. M. W. R. McElhinneyA. MawartR. S. S. M. AlkaabiH. S. S. AbdelsamadA. M. MansourA. HasanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q J. M. W. R. McElhinney A. Mawart R. S. S. M. Alkaabi H. S. S. Abdelsamad A. M. Mansour A. Hasan Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
description	Abstract Biofouling poses a serious concern for the district cooling (DC) industry. Current industry practises for monitoring biofouling continue to rely on culture-based methods for microbial enumeration, which are ultimately flawed. Computational flow cytometric (cFCM) analyses, which offer enhanced reproducibility and streamlined analytics versus conventional flow cytometry were applied to samples taken from 3 sites in each of 3 plants over a 5-week sampling program. We asked whether the application of cFCM to monitoring planktonic community dynamics in DC plants could be able to provide sufficient information to enhance microbiological-control strategies at site and inform about plant performance impacts. The use of cFCM enabled the evaluation of biocide dosing, deep cleaning treatment efficiencies and routes of microbial ingress into the studied systems. Additionally, inherent risks arising from the reintroduction of microbiological communities into recently cleaned WCT basins from contaminated cooling waters were identified. However, short-term dynamics did not relate with plant performance metrics. In summary, the insights offered by this approach can inform on plant status, enable evaluations of microbial loads during biofouling mitigation programs and, ultimately, enhance industry management of the biofouling process.
format	article
author	J. M. W. R. McElhinney A. Mawart R. S. S. M. Alkaabi H. S. S. Abdelsamad A. M. Mansour A. Hasan
author_facet	J. M. W. R. McElhinney A. Mawart R. S. S. M. Alkaabi H. S. S. Abdelsamad A. M. Mansour A. Hasan
author_sort	J. M. W. R. McElhinney
title	Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
title_short	Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
title_full	Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
title_fullStr	Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
title_full_unstemmed	Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
title_sort	computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0e76fa947e634bf6b851b4204af4138c
work_keys_str_mv	AT jmwrmcelhinney computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants AT amawart computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants AT rssmalkaabi computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants AT hssabdelsamad computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants AT ammansour computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants AT ahasan computationalflowcytometryofplanktonicpopulationsfortheevaluationofmicrobiologicalcontrolprogramsindistrictcoolingplants
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Computational flow cytometry of planktonic populations for the evaluation of microbiological-control programs in district cooling plants

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