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QuantGUV: Quantifying Encapsulation Efficiency of Small Molecules in Giant Unilamellar Vesicles
Journal article   Open access   Peer reviewed

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

Zak Marshall, Reshma Bano, Pasha Dylan, Luisa Trifan, Callum Mckeaveney, André P Gerber and Wooli Bae
ACS Applied Materials & Interfaces, Vol.ASAP Articles(ASAP Articles)
28/05/2026
PMID: 42207155

Abstract

synthetic cells quantGUV encapsulation efficiency high-throughput giant unilamellar vesicles (GUVs) image analysis Confocal Microscopy
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.
url
https://doi.org/10.1021/acsami.6c03651View
Published (Version of record) Open CC BY V4.0

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