Effective Biofouling Control Using Periodic H2O2 Cleaning with CuO Modified and Polypropylene Spacers

Wulin Yang, Moon Son, Boya Xiong, Manish Kumar, Szilard Bucs, Johannes S. Vrouwenvelder, Bruce E. Logan

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Feed spacer biofouling is a major challenge in membrane processes such as nanofiltration and reverse osmosis. The bubbling of gas using air can be effective in partially controlling biofouling, but additional chemical control is still needed, and pressurized air systems can be difficult to integrate into existing systems. A simpler approach that combines both bubbling and cleaning was developed here on the basis of intermittently adding a low concentration hydrogen peroxide (H2O2) to the feedwater. With periodic dosing (every 12 h) of 0.3% (w/w) H2O2, no detectable biofouling occurred after 10 days of operation, while biofouling was evident without H2O2 dosing. A single dose of 0.3% (w/w) H2O2 to prefouled spacers and membranes rapidly reduced biofouling, with decreased feed channel differential pressures of 69% (CuO spacer) and 54% (polypropylene spacer). The control of biofouling mainly resulted from bubble production when H2O2 dissociated to shear biofilms off the spacers. Using a CuO spacer did not impact biofouling, suggesting that additional cleaning based on hydroxyl radical formation via Fenton-reaction was not necessary. The use of H2O2 alone had the combined advantages of physically shearing off biofilms from spacers and chemically killing bacteria, while providing a low cost approach for biofouling control in membrane-based desalination processes.
Original languageEnglish (US)
Pages (from-to)9582-9587
Number of pages6
JournalACS Sustainable Chemistry & Engineering
Volume7
Issue number10
DOIs
StatePublished - Apr 29 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2017-CPF-2907-02
Acknowledgements: This research was supported by the King Abdullah University of Science and Technology (KAUST) (OSR-2017-CPF-2907-02) and Penn State University. Work conducted in the Kumar lab was supported by the NSF grant CBET- 1705278.

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