Literature DB >> 34484549

Scaling up the throughput of microfluidic droplet-based materials synthesis: A review of recent progress and outlook.

Jingyu Wu1, Sagar Yadavali, Daeyeon Lee1, David A Issadore.   

Abstract

The last two decades have witnessed tremendous progress in the development of microfluidic chips that generate micrometer- and nanometer-scale materials. These chips allow precise control over composition, structure, and particle uniformity not achievable using conventional methods. These microfluidic-generated materials have demonstrated enormous potential for applications in medicine, agriculture, food processing, acoustic, and optical meta-materials, and more. However, because the basis of these chips' performance is their precise control of fluid flows at the micrometer scale, their operation is limited to the inherently low throughputs dictated by the physics of multiphasic flows in micro-channels. This limitation on throughput results in material production rates that are too low for most practical applications. In recent years, however, significant progress has been made to tackle this challenge by designing microchip architectures that incorporate multiple microfluidic devices onto single chips. These devices can be operated in parallel to increase throughput while retaining the benefits of microfluidic particle generation. In this review, we will highlight recent work in this area and share our perspective on the key unsolved challenges and opportunities in this field.
© 2021 Author(s).

Entities:  

Year:  2021        PMID: 34484549      PMCID: PMC8293697          DOI: 10.1063/5.0049897

Source DB:  PubMed          Journal:  Appl Phys Rev        ISSN: 1931-9401            Impact factor:   19.527


  79 in total

1.  High throughput production of single core double emulsions in a parallelized microfluidic device.

Authors:  Mark B Romanowsky; Adam R Abate; Assaf Rotem; Christian Holtze; David A Weitz
Journal:  Lab Chip       Date:  2012-01-06       Impact factor: 6.799

2.  Acoustofluidics 1: Governing equations in microfluidics.

Authors:  Henrik Bruus
Journal:  Lab Chip       Date:  2011-10-20       Impact factor: 6.799

3.  Predictive model for the size of bubbles and droplets created in microfluidic T-junctions.

Authors:  Volkert van Steijn; Chris R Kleijn; Michiel T Kreutzer
Journal:  Lab Chip       Date:  2010-07-09       Impact factor: 6.799

4.  Impact of inlet channel geometry on microfluidic drop formation.

Authors:  A R Abate; A Poitzsch; Y Hwang; J Lee; J Czerwinska; D A Weitz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-08-19

5.  Parallelized edge-based droplet generation (EDGE) devices.

Authors:  Koen van Dijke; Gert Veldhuis; Karin Schroën; Remko Boom
Journal:  Lab Chip       Date:  2009-07-06       Impact factor: 6.799

6.  High-Throughput Generation of Emulsions and Microgels in Parallelized Microfluidic Drop-Makers Prepared by Rapid Prototyping.

Authors:  Tim Femmer; Alexander Jans; Rudi Eswein; Naveed Anwar; Martin Moeller; Matthias Wessling; Alexander J C Kuehne
Journal:  ACS Appl Mater Interfaces       Date:  2015-06-08       Impact factor: 9.229

Review 7.  Emerging Droplet Microfluidics.

Authors:  Luoran Shang; Yao Cheng; Yuanjin Zhao
Journal:  Chem Rev       Date:  2017-05-24       Impact factor: 60.622

Review 8.  Microfluidic strategies for design and assembly of microfibers and nanofibers with tissue engineering and regenerative medicine applications.

Authors:  Michael A Daniele; Darryl A Boyd; André A Adams; Frances S Ligler
Journal:  Adv Healthc Mater       Date:  2014-05-23       Impact factor: 9.933

9.  Microfluidic EDGE emulsification: the importance of interface interactions on droplet formation and pressure stability.

Authors:  Sami Sahin; Olesya Bliznyuk; Ana Rovalino Cordova; Karin Schroën
Journal:  Sci Rep       Date:  2016-05-27       Impact factor: 4.379

10.  Robust Microfabrication of Highly Parallelized Three-Dimensional Microfluidics on Silicon.

Authors:  Sagar Yadavali; Daeyeon Lee; David Issadore
Journal:  Sci Rep       Date:  2019-08-21       Impact factor: 4.379

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  1 in total

1.  A novel hardmask-to-substrate pattern transfer method for creating 3D, multi-level, hierarchical, high aspect-ratio structures for applications in microfluidics and cooling technologies.

Authors:  Sougata Hazra; Chi Zhang; Qianying Wu; Mehdi Asheghi; Kenneth Goodson; Ercan M Dede; James Palko; Sreekant Narumanchi
Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

  1 in total

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