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dc.contributor.authorKhan, Babar Khalid
dc.contributor.authorFortunato, Luca
dc.contributor.authorLeiknes, TorOve
dc.date.accessioned2018-10-07T08:45:56Z
dc.date.available2018-10-07T08:45:56Z
dc.date.issued2018-10-05
dc.identifier.citationKhan BK, Fortunato L, Leiknes T (2018) Early biofouling detection using fluorescence-based extracellular enzyme activity. Enzyme and Microbial Technology. Available: http://dx.doi.org/10.1016/j.enzmictec.2018.10.001.
dc.identifier.issn0141-0229
dc.identifier.doi10.1016/j.enzmictec.2018.10.001
dc.identifier.urihttp://hdl.handle.net/10754/628889
dc.description.abstractMembrane-based filtration technologies have seen rapid inclusion in a variety of industrial processes, especially production of drinking water by desalination. Biological fouling of membranes is a challenge that leads to increased costs from efficiency reductions, membrane damage and ultimately, membrane replacement over time. Such costs can be mitigated by monitoring and optimizing cleaning processes for better prognosis. Monitoring bacterial accumulation in situ can therefore advance understanding of cleaning efficiency. A fluorescence-based sensor for early biofouling detection capable of measuring extracellular enzyme activity was developed and tested in a lab-scale seawater reverse osmosis (SWRO) biofouling model for use in monitoring bacterial accumulation proximal to the surface of a membrane. We tracked bacterial biomass accumulation rapidly and non-invasively using exogenously applied fluorogen-substrates and corroborated with optical coherence tomography imaging of the membrane surface in real-time. The selected fluorogen and fluorogen-substrate were characterized and down selected by high throughput screening in vitro for compatibility in seawater and profiled over relevant Red Sea desalination parameters (pH and temperature). This approach demonstrates the practicality of prototyping an early-detection biofouling sensor in membrane based processes, such as seawater desalination, using extracellular enzyme activity as a measure of bacterial abundance.
dc.description.sponsorshipThis study was supported by funding from King Abdullah University of Science and Technology (KAUST). TL and BK designed the study. BK performed experiments and analysis, interpreted the data and prepared the manuscript. LF performed all OCT acquisitions and visualizations. Fig. 1, Fig. 2 were produced by Xavier Pita, Fig. 3 was produced by Ivan Gromicho, both scientific illustrator at KAUST. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
dc.publisherElsevier BV
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0141022918301893
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Enzyme and Microbial Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Enzyme and Microbial Technology, [, , (2018-10-05)] DOI: 10.1016/j.enzmictec.2018.10.001 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBiofouling
dc.subjectBiotechnology
dc.subjectDesalination
dc.subjectEnzymes
dc.subjectExtracellular enzyme activity
dc.subjectFluorogen-substrate
dc.titleEarly biofouling detection using fluorescence-based extracellular enzyme activity
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.identifier.journalEnzyme and Microbial Technology
dc.eprint.versionPost-print
kaust.personKhan, Babar Khalid
kaust.personFortunato, Luca
kaust.personLeiknes, TorOve
refterms.dateFOA2018-10-07T10:40:57Z
dc.date.published-online2018-10-05
dc.date.published-print2019-01


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