Rapid monitoring of cleaning efficiency of fouled hollow fiber membrane module via non-invasive NMR diffraction technique

Journal article (2023)

Authors

Bin Yan University of Western Australia

Sarah J. Vogt University of Western Australia

Bastiaan Blankert King Abdullah University of Science and Technology

J.S. Vrouwenvelder King Abdullah University of Science and Technology, BT/Environmental Biotechnology -

Michael L. Johns University of Western Australia

Einar O. Fridjonsson University of Western Australia

Research Group

BT/Environmental Biotechnology () (TU Delft)

DOI: https://doi.org/10.1016/j.ces.2023.118925

Membranes Fouling Cleaning efficiency Early warning monitor Low magnetic field MRI NMR Patterson functions

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Published Date

2023

Language

English

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Faculty

Applied Sciences

Department

BT/Biotechnologie

Research Group

BT/Environmental Biotechnology

Abstract

Early fouling warning is important for the economical operation of membrane separation systems. In parallel multi-channel flow systems, flow re-distribution between channels due to fouling is often associated with maloperation. In the current research we use low magnetic field NMR to monitor multi-fiber hollow fiber membrane modules undergoing a fouling-cleaning cycle and show that rapid detection of fouling is possible by detecting the loss of signal coherence associated with flow re-distribution within the 401 hollow fiber membrane module. This effect is demonstrated to be both reproducible, and reversible via membrane cleaning. The results demonstrate a strong correlation between the coherence signal magnitude and the number of fibers fouled. This may be used in practice for high sensitivity early warning, and to monitor the efficiency of cleaning. This approach may also be particularly useful in the case of detecting residual fouling after cleaning, evidenced in this research by significant flow re-distribution between the before fouling and after cleaning signal coherence.

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