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Embedded droplet printing in yield-stress fluids

Microfluidic tools and techniques for manipulating fluid droplets have become core to many scientific and technological fields. Despite the plethora of existing approaches to fluidic manipulation, non-Newtonian fluid phenomena are rarely taken advantage of. Here we introduce embedded droplet printin...

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Autores principales: Nelson, Arif Z., Kundukad, Binu, Wong, Wai Kuan, Khan, Saif A., Doyle, Patrick S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084155/
https://www.ncbi.nlm.nih.gov/pubmed/32127482
http://dx.doi.org/10.1073/pnas.1919363117
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author Nelson, Arif Z.
Kundukad, Binu
Wong, Wai Kuan
Khan, Saif A.
Doyle, Patrick S.
author_facet Nelson, Arif Z.
Kundukad, Binu
Wong, Wai Kuan
Khan, Saif A.
Doyle, Patrick S.
author_sort Nelson, Arif Z.
collection PubMed
description Microfluidic tools and techniques for manipulating fluid droplets have become core to many scientific and technological fields. Despite the plethora of existing approaches to fluidic manipulation, non-Newtonian fluid phenomena are rarely taken advantage of. Here we introduce embedded droplet printing—a system and methods for the generation, trapping, and processing of fluid droplets within yield-stress fluids, materials that exhibit extreme shear thinning. This technique allows for the manipulation of droplets under conditions that are simply unattainable with conventional microfluidic methods, namely the elimination of exterior influences including convection and solid boundaries. Because of this, we believe embedded droplet printing approaches an ideal for the experimentation, processing, or observation of many samples in an “absolutely quiescent” state, while also removing some troublesome aspects of microfluidics including the use of surfactants and the complexity of device manufacturing. We characterize a model material system to understand the process of droplet generation inside yield-stress fluids and develop a nascent set of archetypal operations that can be performed with embedded droplet printing. With these principles and tools, we demonstrate the benefits and versatility of our method, applying it toward the diverse applications of pharmaceutical crystallization, microbatch chemical reactions, and biological assays.
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spelling pubmed-70841552020-03-24 Embedded droplet printing in yield-stress fluids Nelson, Arif Z. Kundukad, Binu Wong, Wai Kuan Khan, Saif A. Doyle, Patrick S. Proc Natl Acad Sci U S A Physical Sciences Microfluidic tools and techniques for manipulating fluid droplets have become core to many scientific and technological fields. Despite the plethora of existing approaches to fluidic manipulation, non-Newtonian fluid phenomena are rarely taken advantage of. Here we introduce embedded droplet printing—a system and methods for the generation, trapping, and processing of fluid droplets within yield-stress fluids, materials that exhibit extreme shear thinning. This technique allows for the manipulation of droplets under conditions that are simply unattainable with conventional microfluidic methods, namely the elimination of exterior influences including convection and solid boundaries. Because of this, we believe embedded droplet printing approaches an ideal for the experimentation, processing, or observation of many samples in an “absolutely quiescent” state, while also removing some troublesome aspects of microfluidics including the use of surfactants and the complexity of device manufacturing. We characterize a model material system to understand the process of droplet generation inside yield-stress fluids and develop a nascent set of archetypal operations that can be performed with embedded droplet printing. With these principles and tools, we demonstrate the benefits and versatility of our method, applying it toward the diverse applications of pharmaceutical crystallization, microbatch chemical reactions, and biological assays. National Academy of Sciences 2020-03-17 2020-03-03 /pmc/articles/PMC7084155/ /pubmed/32127482 http://dx.doi.org/10.1073/pnas.1919363117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Nelson, Arif Z.
Kundukad, Binu
Wong, Wai Kuan
Khan, Saif A.
Doyle, Patrick S.
Embedded droplet printing in yield-stress fluids
title Embedded droplet printing in yield-stress fluids
title_full Embedded droplet printing in yield-stress fluids
title_fullStr Embedded droplet printing in yield-stress fluids
title_full_unstemmed Embedded droplet printing in yield-stress fluids
title_short Embedded droplet printing in yield-stress fluids
title_sort embedded droplet printing in yield-stress fluids
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084155/
https://www.ncbi.nlm.nih.gov/pubmed/32127482
http://dx.doi.org/10.1073/pnas.1919363117
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