Evidence map›Paper›PMID 42016524›Full record

ArticleNanoscale advances2026

Flow orientation as a critical parameter in nanoscale membrane filtration for optimising small extracellular vesicle isolation.

Sadeka Nujhat, Hannah S Leese, Madeleine A Strickland, Mirella Di Lorenzo, Sandhya Moise

Abstract read
In one paragraph

Article in Nanoscale advances, 2026. 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

5 authors.

Sadeka NujhatDepartment of Chemical Engineering, University of Bath Bath BA2 7AY UK s.moise@bath.ac.uk h.s.leese@bath.ac.uk.
Hannah S LeeseDepartment of Chemical Engineering, University of Bath Bath BA2 7AY UK s.moise@bath.ac.uk h.s.leese@bath.ac.uk.
Madeleine A StricklandDepartment of Chemical Engineering, University of Bath Bath BA2 7AY UK s.moise@bath.ac.uk h.s.leese@bath.ac.uk.
Mirella Di LorenzoDepartment of Chemical Engineering, University of Bath Bath BA2 7AY UK s.moise@bath.ac.uk h.s.leese@bath.ac.uk.
Sandhya MoiseDepartment of Chemical Engineering, University of Bath Bath BA2 7AY UK s.moise@bath.ac.uk h.s.leese@bath.ac.uk.ORCID https://orcid.org/0000-0002-9475-4852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane filtration of biological nanoparticles typically employs tangential or perpendicular flow geometries, each presenting inherent performance trade-offs between membrane flux and fouling. While these configurations involve established limitations in transmembrane pressure, fouling, and particle damage, how intermediate inlet angles quantitatively modulate these effects at the microscale remains unexplored. Here, we combine computational fluid dynamics with experimental validation to systematically investigate how inlet microchannel orientation relative to a nanoporous alumina membrane (0°, 30°, 60°, and 90°) governs the separation performance of small extracellular vesicles (sEVs) - sub-200 nm particles that serve as promising liquid biopsy targets for ovarian cancer detection. Simulations show that intermediate flow angles (30° and 60°) produce filtration fluxes between those of perpendicular and tangential configurations, reflecting modified near-membrane hydrodynamics, while potentially improving filtrate composition. Using OVCAR3 ovarian cancer cell-derived sEVs, we demonstrate that a 60° inlet angle generates a distinct hydrodynamic regime favourable for sEV membrane-based filtration. Devices with inlet orientation at 60° (i) suppress contaminants of >100 nm by 3-fold compared to perpendicular flow, (ii) retain comparable sEV recovery compared to tangential flow (

Identifiers

PMID42016524
PMCPMC13093753

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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.