Back

Systematic Investigation of Double Emulsion Dewetting Dynamics for the Droplet Microfluidic Production of Giant Unilamellar Vesicles (GUVs) under Biocompatible Conditions

Jing, W.; Noh, H.; Tan, T. J. C.; Wu, N. C.; Han, H.-S.

2025-02-04 synthetic biology
10.1101/2025.02.04.636495 bioRxiv
Show abstract

Giant unilamellar vesicles (GUVs) embody biomimetic membranes with compartmentalization that serve not only as simplified models to better understand complex biochemical and biophysical processes, but also as a chassis for the bottom-up assembly of synthetic cells. Recently, double emulsion droplet microfluidics has proven to be a promising platform for their production, offering greater throughput, control, and reproducibility over traditional methods. However, the interplay of parameters--particularly under biocompatible conditions--that influence the complex multiphase fluid dynamics of the dewetting process underlying GUV production has not been thoroughly studied, limiting the democratization of the approach. In this study, we systematically investigate how lipid composition and concentration, aqueous phase conditions, droplet confinement, and fluid dynamics effects promote or impede the dewetting process. We show that the prevalent use of high concentrations of glycerol and P188 are unnecessary, and the altered dewetting dynamics with restricted surfactant usage can be tuned by adjusting chip dimensions and multi-phase compositions. Guided by these findings, we achieved robust, high throughput production of monodisperse GUVs using 0.1% P188 and no glycerol with salts. Our results improve the reliability and accessibility of droplet-microfluidics GUV platforms to catalyze advances in biophysics, synthetic biology, and drug discovery.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Analytical Chemistry
205 papers in training set
Top 0.3%
9.9%
2
ACS Synthetic Biology
256 papers in training set
Top 0.5%
9.9%
3
ACS Applied Bio Materials
21 papers in training set
Top 0.1%
8.3%
4
Advanced Healthcare Materials
71 papers in training set
Top 0.5%
4.8%
5
Small
70 papers in training set
Top 0.1%
4.8%
6
Advanced Biology
29 papers in training set
Top 0.1%
4.8%
7
Small Methods
26 papers in training set
Top 0.1%
4.3%
8
Communications Chemistry
39 papers in training set
Top 0.1%
4.2%
50% of probability mass above
9
Nature Communications
4913 papers in training set
Top 37%
3.9%
10
Advanced Science
249 papers in training set
Top 5%
3.6%
11
ACS Nano
99 papers in training set
Top 1%
3.5%
12
Journal of Controlled Release
39 papers in training set
Top 0.4%
2.7%
13
Materials Today Bio
18 papers in training set
Top 0.1%
2.4%
14
Talanta
12 papers in training set
Top 0.2%
2.0%
15
ACS Omega
90 papers in training set
Top 1%
1.9%
16
Communications Biology
886 papers in training set
Top 7%
1.9%
17
Advanced Materials Technologies
27 papers in training set
Top 0.4%
1.6%
18
Nano Letters
63 papers in training set
Top 2%
1.5%
19
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.3%
20
Journal of the American Chemical Society
199 papers in training set
Top 4%
1.3%
21
Biotechnology and Bioengineering
49 papers in training set
Top 0.6%
1.3%
22
Advanced Materials
53 papers in training set
Top 1%
1.2%
23
Lab on a Chip
88 papers in training set
Top 1%
0.8%
24
ChemBioChem
50 papers in training set
Top 1%
0.7%
25
JACS Au
35 papers in training set
Top 1%
0.7%
26
Science Advances
1098 papers in training set
Top 30%
0.7%
27
Metabolic Engineering
68 papers in training set
Top 0.7%
0.7%
28
Soft Matter
50 papers in training set
Top 0.5%
0.7%
29
Scientific Reports
3102 papers in training set
Top 79%
0.6%