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AuthorAshfaq, Mohammad Y.
AuthorAl-Ghouti, Mohammad A.
AuthorQiblawey, Hazim
AuthorZouari, Nabil
Available date2020-05-15T00:15:04Z
Publication Date2019
Publication NameBiofouling
ResourceScopus
ISSN8927014
URIhttp://dx.doi.org/10.1080/08927014.2018.1557637
URIhttp://hdl.handle.net/10576/14933
AbstractA combination of Fourier-transform infrared (FTIR) spectroscopy, multivariate analysis and conventional microbiological assays were utilized to characterize and differentiate membrane biofouling formed in the presence of antiscalants. Based on the FTIR spectra of biofouled reverse osmosis membranes obtained after incubating with antiscalants and H. aquamarina (as model microorganism), it was found that the biofouling intensity and composition was dependent on the type of antiscalants used. The growth of the bacterium was also highly affected by the type of antiscalants as shown by the colony forming unit (CFU) counts. By combining the techniques of principle component analysis (PCA) and FTIR, it was demonstrated that the biofouling was more intense and composed of proteins, polysaccharides and lipids, when polymer antiscalant was used. By applying PCA-FTIR with CFU counts, faster prediction of the effect of antiscalants on biofouling was made possible. 2019, 2019 Informa UK Limited, trading as Taylor & Francis Group.
SponsorThis publication was made possible by NPRP grant # [9-318-1-064] from the Qatar National Research Fund (a member of Qatar Foundation). The findings achieved herein are solely the responsibility of the authors. Many thanks to Mr Fathy Atia and Ms Muneera (Central Laboratory Unit?QU) for their efforts in FTIR analysis. Special thanks to Ms Dana A. Da?na and Ms Shazia Bibi for their assistance in the laboratory work.
Languageen
PublisherTaylor and Francis Ltd.
Subjectantiscalants
conventional microbiological assays
Fourier-transform infrared (FTIR)
membrane biofouling
membrane deterioration
principle component analysis
TitleEvaluating the effect of antiscalants on membrane biofouling using FTIR and multivariate analysis
TypeArticle
Issue Number1
Volume Number35
dc.accessType Open Access


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