Revealing the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes by in-situ visualization

• Microscale herringbone patterns effectively reduce early-stage protein fouling. • Confocal microscopy enables in situ imaging of protein deposition dynamics. • Fluorescent labeling provides spatiotemporal resolution of fouling processes. • Surface pattern geometry influences fouling behavior and filtration performance. This study is the first to directly visualize and quantify the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes using in situ confocal laser scanning microscopy (CLSM). In it, we investigated the effectiveness of adding microscale herringbone patterns to ultrafiltration membrane surfaces for reducing protein fouling. Patterns with different geometries were introduced to membrane surfaces by embossing with woven mesh fabrics. Having found earlier that CLSM can provide greater detail for the early (pre-monolayer) stage of fouling, we used CLSM in situ to investigate the protein fouling profiles on as-received and patterned membranes. Labeling the proteins and membranes with different fluorescent probes allowed the spatiotemporal imaging of protein deposition at the early stages of fouling. CLSM images were compared with filtration data to reveal the effect of pattern geometry on protein fouling. Extending the approach to other patterns and multi-component solutions can inform surface modification strategies to control protein fouling in pressure-driven membrane operations.

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Publication Details

Journal
Journal of Membrane Science Letters
Published
2025-04-24
DOI
https://doi.org/10.1016/j.memlet.2025.100097
Citations
2
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
1.63

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article

Revealing the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes by in-situ visualization

Scott M. Husson, Anna Malakian
2 citations
Journal of Membrane Science Letters
Membrane Separation Technologies
1.63
article

Revealing the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes by in-situ visualization

Scott M. Husson, Anna Malakian
article en
2 citations

Abstract

• Microscale herringbone patterns effectively reduce early-stage protein fouling. • Confocal microscopy enables in situ imaging of protein deposition dynamics. • Fluorescent labeling provides spatiotemporal resolution of fouling processes. • Surface pattern geometry influences fouling behavior and filtration performance. This study is the first to directly visualize and quantify the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes using in situ confocal laser scanning microscopy (CLSM). In it, we investigated the effectiveness of adding microscale herringbone patterns to ultrafiltration membrane surfaces for reducing protein fouling. Patterns with different geometries were introduced to membrane surfaces by embossing with woven mesh fabrics. Having found earlier that CLSM can provide greater detail for the early (pre-monolayer) stage of fouling, we used CLSM in situ to investigate the protein fouling profiles on as-received and patterned membranes. Labeling the proteins and membranes with different fluorescent probes allowed the spatiotemporal imaging of protein deposition at the early stages of fouling. CLSM images were compared with filtration data to reveal the effect of pattern geometry on protein fouling. Extending the approach to other patterns and multi-component solutions can inform surface modification strategies to control protein fouling in pressure-driven membrane operations.

Journal of Membrane Science LettersVol. 5(1)
Clemson University (US)
National Science Foundation, U.S. Department of Education, South Carolina EPSCoR
Openalex Percentile: Top 17%
Membrane Separation Technologies
1.63
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Revealing the spatiotemporal dynamics of protein fouling on micropatterned ultrafiltration membranes by in-situ visualization — Scott M. Husson, Anna Malakian · Journal of Membrane Science Letters (2025) | TGRS Research Map | TGRS