Evidence map›Paper›PMID 42207155›Full record

ArticleACS applied materials & interfaces2026

QuantGUV: Quantifying Encapsulation Efficiency of Small Molecules in Giant Unilamellar Vesicles.

Zak Marshall, Reshma Bano, Pasha Dylan, Luisa Trifan, Callum Mckeaveney, André P Gerber, Wooli Bae

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 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

7 authors.

Zak MarshallSchool of Mathematics and Physics, Faculty of Engineering and Physical Sciences, University of Surrey, SurreyGU2 7XH, U.K.ORCID 0009-0008-8927-2307
Reshma BanoSchool of Mathematics and Physics, Faculty of Engineering and Physical Sciences, University of Surrey, SurreyGU2 7XH, U.K.
Pasha DylanSchool of Mathematics and Physics, Faculty of Engineering and Physical Sciences, University of Surrey, SurreyGU2 7XH, U.K.
Luisa TrifanSchool of Mathematics and Physics, Faculty of Engineering and Physical Sciences, University of Surrey, SurreyGU2 7XH, U.K.
Callum MckeaveneySchool of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, SurreyGU2 7XH, U.K.
André P GerberSchool of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, SurreyGU2 7XH, U.K.ORCID 0000-0002-2398-6592
Wooli BaeSchool of Mathematics and Physics, Faculty of Engineering and Physical Sciences, University of Surrey, SurreyGU2 7XH, U.K.ORCID 0000-0001-5396-3263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic cells, constructed through the self-assembly of small molecules, are designed to mimic life-like behaviors by encapsulating functional molecules. For such synthetic cells to accurately replicate cellular reactions, it is critical that the concentrations of encapsulated molecules mirror those in living systems, as reaction kinetics and cellular network states are highly sensitive to these concentrations. However, current methods for precisely determining encapsulation efficiency in synthetic cells at the single-cell resolution have been limited. To address this challenge, we present QuantGUV, a software-driven, image-based analysis method that determines the concentrations of fluorescent molecules encapsulated within giant unilamellar vesicles (GUVs). We use QuantGUV to measure the encapsulation efficiencies of three fluorescent molecules, sulforhodamine B, mEGFP, and polystyrene beads for GUVs formed via the water-in-oil emulsion transfer method. The encapsulation efficiencies for polystyrene beads were close to 100% in most of the conditions, while sulforhodamine B and mEGFP's encapsulation efficiencies depended on the parameters during GUV formation, such as concentrations of lipids and oil-water ratio during GUV formation. By providing crucial insights into encapsulation efficiencies, QuantGUV offers a valuable tool to support the construction of quantitative synthetic cell systems with accurately controlled internal environments.

Indexed as

Unilamellar LiposomesEmulsionsFluorescent DyesGreen Fluorescent ProteinsPolystyrenesRhodaminesEmulsionsFluorescent DyesGreen Fluorescent Proteinslissamine rhodamine BPolystyrenesRhodaminesUnilamellar Liposomesconfocal microscopyencapsulation efficiencygiant unilamellar vesicles (GUVs)high-throughputimage analysisquantGUVsynthetic cells

Identifiers

PMID42207155
PMCPMC13266705

What OpenQuestion holds

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Registered trials

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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.