Evidence map›Paper›PMID 37367757›Full record

ArticleMembranes2023

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

Helge Oesinghaus, Daniel Wanken, Kilian Lupp, Martina Gastl, Martin Elsner, Karl Glas

Abstract read
In one paragraph

Article in Membranes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Helge OesinghausWater 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.
Daniel WankenWater 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.
Kilian LuppWater 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.
Martina GastlResearch Center Weihenstephan for Brewing and Food Quality, Technical University of Munich, Alte Akademie 3, 85354 Freising, Germany.ORCID 0000-0002-6485-6727
Martin ElsnerChair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.ORCID 0000-0003-4746-9052
Karl GlasWater 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.

Funding

The German Ministry of Economic Affairs and Climate Action (BMWK) KK5022305CR0
6 · The paper itself

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.

Indexed as

biofoulingimage analysisin-situ detectionpolymer optical fiber sensorsreverse osmosis

Identifiers

PMID37367757
PMCPMC10302942

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.