Abstract

Droplet merging serves as a powerful tool to add reagents to moving droplets for biological and chemical reactions. However, unsynchronized droplet pairing impedes high-efficiency merging. Here, we develop a microfluidic design for the self-synchronization of reinjected droplets. A periodic increase in the hydrodynamic resistance caused by droplet blocking a T-junction enables automatic pairing of droplets. After inducing spacing, the paired droplets merge downstream under an electric field. The blockage-based design can achieve a 100% synchronization efficiency even when the mismatch rate of droplet frequencies reaches 10%. Over 98% of the droplets can still be synchronized at nonuniform droplet sizes and fluctuating reinjection flow rates. Moreover, the droplet pairing ratio can be adjusted flexibly for on-demand sample addition. Using this system, we merge two groups of droplets encapsulating enzyme/substrate, demonstrating its capacity to conduct multi-step reactions. We also combine droplet sorting and merging to coencapsulate single cells and single beads, providing a basis for high-efficiency single-cell sequencing. We expect that this system can be integrated with other droplet manipulation systems for a broad range of chemical and biological applications.

Details

Title
Self-synchronization of reinjected droplets for high-efficiency droplet pairing and merging
Author
Nan, Lang 1 ; Mao, Tianjiao 2 ; Shum, Ho Cheung 3   VIAFID ORCID Logo 

 Hong Kong Science Park, Advanced Biomedical Instrumentation Centre, Shatin, China (GRID:grid.513548.e) 
 The University of Hong Kong, Department of Mechanical Engineering, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000000121742757) 
 Hong Kong Science Park, Advanced Biomedical Instrumentation Centre, Shatin, China (GRID:grid.513548.e); The University of Hong Kong, Department of Mechanical Engineering, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000000121742757) 
Pages
24
Publication year
2023
Publication date
2023
Publisher
Springer Nature B.V.
ISSN
20961030
e-ISSN
20557434
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2784703771
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.