Ali Kalantarifard, Elnaz Alizadeh-Haghighi, Caglar Elbuken, A microfluidic droplet system for ultra-monodisperse droplet generation: A universal approach, Chemical Engineering Science, Volume 261, 2022, 117947, ISSN 0009-2509, https://doi.org/10.1016/j.ces.2022.117947
A microfluidic droplet system for ultra-monodisperse droplet generation : a universal approach
|Author:||Kalantarifard, Ali1; Alizadeh-Haghighi, Elnaz2; Elbuken, Caglar2,1,3|
1Faculty of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland
2Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara 06800, Turkey
3VTT Technical Research Centre of Finland Ltd., 90570 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022112366563
|Publish Date:|| 2022-11-23
Despite the importance of droplet monodispersity, a universal methodology for high monodispersity droplet generation does not exist yet. We have recently demonstrated that unlike the conventional method of droplet generation, applying an identical pressure from a single source makes the microfluidic droplet system immune to the external fluctuations that originate from the imperfection of the flow source. In this work, we show that our method is universal and applicable to other common microfluidic devices and flow sources. We applied this method to flow-focusing and coflow devices that are commonly used for high-frequency microdroplet generation. In addition to the pressure pump, we used a syringe pump to show that our method is applicable to flow rate controllable systems as well. We compared the monodispersity of droplets formed by the conventional methods and the novel method explained in this work.
Chemical engineering science
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
116 Chemical sciences
216 Materials engineering
222 Other engineering and technologies
This work was supported by Academy of Finland grant no. 342448. This research is connected to the DigiHealth-project, a strategic profiling project at the University of Oulu and partially supported by the Academy of Finland (project no. 326291) and the University of Oulu.
|Academy of Finland Grant Number:||
342448 (Academy of Finland Funding decision)
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).