Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/127966
Title: Monitoring UF membrane performance treating surface-groundwater blends: limitations of FEEM-PARAFAC on the assessment of the organic matter role
Author: Vera, M.
Martín Alonso, Jordi
Mesa, J.
Granados i Juan, Mercè
Beltrán Abadia, José Luis
Casas, Sandra
Gibert Agulló, Oriol
Cortina Pallàs, José Luis
Keywords: Espectroscòpia de fluorescència
Separació per membrana
Anàlisi de l'aigua
Ultrafiltració
Fluorescence spectroscopy
Membrane separation
Water analysis
Ultrafiltration
Issue Date: 20-Feb-2017
Publisher: Elsevier B.V.
Abstract: The decrease of water quantity and quality in water scarcity areas is palliated by improving water treatments with membrane technologies. System performance and efficiency, and then cost, is mainly affected by membrane fouling, which is still not well understood and controlled appropriately. In this study, the influence of content and composition of dissolved organic matter (DOM) on a membrane ultrafiltration (UF) stage from a full-scale UF stage in a drinking water treatment plant (DWTP) fed with surface water, groundwater (or blends of them) was investigated. Excitation-emission matrix (EEM) fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC) was used to characterize and assess DOM changes in water samples Water streams feeding the UF stage showed high variability in DOM content and composition. FEEM-PARAFAC analysis allowed the differentiation of seven different organic components. Additionally to the characterization and monitoring of DOM in the full-scale UF stage, a bench scale UF pilot was run to experimentally correlate the impact of water quality with membrane performance. The experiments included testing synthetic solutions of model foulants (synthetic humic acid and bovine serum albumin) and blends of complex waters. To quantify fouling, the total fouling index (TFI) and the hydraulically irreversible fouling index (HIFI) were calculated for each filtration run. According to the results obtained, the correlation plots between the PARAFAC components and the fouling indices pointed at microbial byproducts (C1) and humic-like components (C2, C4, C5) as the ones showing higher correlations.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.cej.2017.02.081
It is part of: Chemical Engineering Journal, 2017, vol. 317, p. 961-971
URI: http://hdl.handle.net/2445/127966
Related resource: https://doi.org/10.1016/j.cej.2017.02.081
ISSN: 1385-8947
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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