4.7 Article

Understanding ultrafiltration membrane fouling by extracellular organic matter of Microcystis aeruginosa using fluorescence excitation-emission matrix coupled with parallel factor analysis

Journal

DESALINATION
Volume 337, Issue -, Pages 67-75

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.desal.2014.01.014

Keywords

Algae; Extracellular organic matter (EOM); Ultrafiltration (UF); Fluorescence spectroscopy excitation emission matrix (EEM); Parallel factor analysis (PARAFAC)

Funding

  1. National Natural Science Foundation of China [51138008, 51308146]
  2. State Key Laboratory of Urban Water Resource and Environment [2012DX11]
  3. Funds for Creative Research Groups of China [51121062]

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This study presents a novel approach evaluating the foulant properties of extracellular organic matter (EOM) on ultrafiltration (UF) by examining the organic matter properties of the feed, permeate, reversible and irreversible foulant layers using excitation-emission matrix coupled with parallel factor analysis (EEM-PARAFAC) together with dissolved organic carbon (DOC) and polysaccharide analysis. Fate of each EOM component as well as total carbon mass balance under various solution chemistries were illustrated, and major foulants and fouling mechanisms involved were identified. Component 1 (i.e. tryptophan-like substances) and polysaccharides were identified as the major foulants under all solution chemistries, but major irreversible foulants changed under different solution chemistries. Under the ambient solution chemistry, polysaccharides contributed more to irreversible fouling, while Component 1 fouling turned out to be more irreversible with the presence of calcium. Calcium bridging effect, pore blocking and initial pore-competition resulted in the changes above. The significant increase of irreversible fouling observed under acid condition was attributed to the extremely enhanced hydrophobic adhesion between hydrophobic foulants (Component 1 and Component 3) and polyethersulfone (PES) membrane. The proposed EEM-PARAFAC based approach proved suitable for major foulant identification and mechanism implication, suggesting its potential for analyzing membrane fouling caused by complex matrix. (C) 2014 Elsevier B.V. All rights reserved.

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