Low-cost image-based monitoring to assess spatial and temporal biofouling dynamics in high-pressure membranes

Understanding the development of biofouling on the surface of reverse osmosis and nanofiltration membranes is crucial for a safe and reliable operation of membrane systems. Current monitoring techniques however either cannot account for detailed temporal or spatial fouling trends (e.g., feed channel pressure drop, ) or involve elevated cost and manual data post-processing (e.g., optical coherence tomography). In order to complement existing methods, we developed a low-cost and easy-to-use optical system for biofouling monitoring based on a consumer-grade DSLR camera equipped with a macro lens and freely available post-processing software. Applying our system in accelerated biofouling tests, we demonstrated that it allows for visual detection of incipient biofouling and qualitative real-time assessment of spatial biofilm growth patterns. We calculated the Pixel Intensity Difference , a quantitative image-based proxy for biofouling, and demonstrated that it captures temporal biofouling dynamics, particularly the early biofilm growth that is hardly detected by . However, being limited to 2D top view planar images, only partially discerns 3D biofilm growth in later biofouling stages. Additionally, our optical system enabled quantitative spatial fouling characterization, from in-detail assessment of minute pixel clusters to comparison of magnitude and temporal trends of biofouling in feed channel subsections. Biofilm growth was found to be substantially stronger on the feed spacer than on the free membrane surface. We share technical information on our system (e.g., drawings, code) so that further research can benefit from this affordable and easy-to-use method for image-based biofouling investigation in lab-scale and full-scale settings. • DSLR camera/macro lens system was studied for low-cost, handy biofouling monitoring • System enables rapid visual in situ and online detection of incipient biofouling • Quantitative image-based fouling indicator discerns biofouling earlier than FCPD • Spatial biofouling dynamics are captured, from micrometer to millimeter scale • Technical information on optical system is disclosed to support further research

Authors

Institutions

Publication Details

Journal
Journal of Membrane Science
Published
2025-12-30
DOI
https://doi.org/10.1016/j.memsci.2025.125114
Citations
1
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-cost image-based monitoring to assess spatial and temporal biofouling dynamics in high-pressure membranes

J.E. Drewes, A. Mitranescu, A. Sudjito, A. Steger
1 citations
Journal of Membrane Science
Membrane Separation Technologies
0.82
article

Low-cost image-based monitoring to assess spatial and temporal biofouling dynamics in high-pressure membranes

J.E. Drewes, A. Mitranescu, A. Sudjito, A. Steger
article en
1 citations

Abstract

Understanding the development of biofouling on the surface of reverse osmosis and nanofiltration membranes is crucial for a safe and reliable operation of membrane systems. Current monitoring techniques however either cannot account for detailed temporal or spatial fouling trends (e.g., feed channel pressure drop, ) or involve elevated cost and manual data post-processing (e.g., optical coherence tomography). In order to complement existing methods, we developed a low-cost and easy-to-use optical system for biofouling monitoring based on a consumer-grade DSLR camera equipped with a macro lens and freely available post-processing software. Applying our system in accelerated biofouling tests, we demonstrated that it allows for visual detection of incipient biofouling and qualitative real-time assessment of spatial biofilm growth patterns. We calculated the Pixel Intensity Difference , a quantitative image-based proxy for biofouling, and demonstrated that it captures temporal biofouling dynamics, particularly the early biofilm growth that is hardly detected by . However, being limited to 2D top view planar images, only partially discerns 3D biofilm growth in later biofouling stages. Additionally, our optical system enabled quantitative spatial fouling characterization, from in-detail assessment of minute pixel clusters to comparison of magnitude and temporal trends of biofouling in feed channel subsections. Biofilm growth was found to be substantially stronger on the feed spacer than on the free membrane surface. We share technical information on our system (e.g., drawings, code) so that further research can benefit from this affordable and easy-to-use method for image-based biofouling investigation in lab-scale and full-scale settings. • DSLR camera/macro lens system was studied for low-cost, handy biofouling monitoring • System enables rapid visual in situ and online detection of incipient biofouling • Quantitative image-based fouling indicator discerns biofouling earlier than FCPD • Spatial biofouling dynamics are captured, from micrometer to millimeter scale • Technical information on optical system is disclosed to support further research

Journal of Membrane ScienceVol. 741
Technical University of Munich (DE)
Openalex Percentile: Top 19%
Membrane Separation Technologies
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.