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Article

Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes

1
Water System Engineering, Chair of Food Chemistry and Molecular Sensory Science, TUM School of Life Science, Technical University of Munich, Maximus von Imhof Forum 2, 85354 Freising, Germany
2
Research Center Weihenstephan for Brewing and Food Quality, Technical University of Munich, Alte Akademie 3, 85354 Freising, Germany
3
Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Membranes 2023, 13(6), 553; https://doi.org/10.3390/membranes13060553
Submission received: 4 May 2023 / Revised: 16 May 2023 / Accepted: 22 May 2023 / Published: 25 May 2023

Abstract

Reverse osmosis (RO) is a widely used membrane technology for producing process water or tap water that is receiving increased attention due to water scarcity caused by climate change. A significant challenge in any membrane filtration is the presence of deposits on the membrane surfaces, which negatively affect filtration performance. Biofouling, the formation of biological deposits, poses a significant challenge in RO processes. Early detection and removal of biofouling are essential for effective sanitation and prevention of biological growth in RO-spiral wound modules. This study introduces two methods for the early detection of biofouling, capable of identifying initial stages of biological growth and biofouling in the spacer-filled feed channel. One method utilizes polymer optical fibre sensors that can be easily integrated into standard spiral wound modules. Additionally, image analysis was used to monitor and analyze biofouling in laboratory experiments, providing a complementary approach. To validate the effectiveness of the developed sensing approaches, accelerated biofouling experiments were conducted using a membrane flat module, and the results were compared with common online and offline detection methods. The reported approaches enable the detection of biofouling before known online parameters become indicative, effectively providing an online detection with sensitivities otherwise only achieved through offline characterization methods.
Keywords: reverse osmosis; biofouling; in-situ detection; polymer optical fiber sensors; image analysis reverse osmosis; biofouling; in-situ detection; polymer optical fiber sensors; image analysis

Share and Cite

MDPI and ACS Style

Oesinghaus, H.; Wanken, D.; Lupp, K.; Gastl, M.; Elsner, M.; Glas, K. Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes. Membranes 2023, 13, 553. https://doi.org/10.3390/membranes13060553

AMA Style

Oesinghaus H, Wanken D, Lupp K, Gastl M, Elsner M, Glas K. Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes. Membranes. 2023; 13(6):553. https://doi.org/10.3390/membranes13060553

Chicago/Turabian Style

Oesinghaus, Helge, Daniel Wanken, Kilian Lupp, Martina Gastl, Martin Elsner, and Karl Glas. 2023. "Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes" Membranes 13, no. 6: 553. https://doi.org/10.3390/membranes13060553

APA Style

Oesinghaus, H., Wanken, D., Lupp, K., Gastl, M., Elsner, M., & Glas, K. (2023). Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes. Membranes, 13(6), 553. https://doi.org/10.3390/membranes13060553

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