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Combinatorial microfluidic droplet engineering for biomimetic material synthesis

Although droplet-based systems are used in a wide range of technologies, opportunities for systematically customizing their interface chemistries remain relatively unexplored. This article describes a new microfluidic strategy for rapidly tailoring emulsion droplet compositions and properties. The a...

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Autores principales: Bawazer, Lukmaan A., McNally, Ciara S., Empson, Christopher J., Marchant, William J., Comyn, Tim P., Niu, Xize, Cho, Soongwon, McPherson, Michael J., Binks, Bernard P., deMello, Andrew, Meldrum, Fiona C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055387/
https://www.ncbi.nlm.nih.gov/pubmed/27730209
http://dx.doi.org/10.1126/sciadv.1600567
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author Bawazer, Lukmaan A.
McNally, Ciara S.
Empson, Christopher J.
Marchant, William J.
Comyn, Tim P.
Niu, Xize
Cho, Soongwon
McPherson, Michael J.
Binks, Bernard P.
deMello, Andrew
Meldrum, Fiona C.
author_facet Bawazer, Lukmaan A.
McNally, Ciara S.
Empson, Christopher J.
Marchant, William J.
Comyn, Tim P.
Niu, Xize
Cho, Soongwon
McPherson, Michael J.
Binks, Bernard P.
deMello, Andrew
Meldrum, Fiona C.
author_sort Bawazer, Lukmaan A.
collection PubMed
description Although droplet-based systems are used in a wide range of technologies, opportunities for systematically customizing their interface chemistries remain relatively unexplored. This article describes a new microfluidic strategy for rapidly tailoring emulsion droplet compositions and properties. The approach uses a simple platform for screening arrays of droplet-based microfluidic devices and couples this with combinatorial selection of the droplet compositions. Through the application of genetic algorithms over multiple screening rounds, droplets with target properties can be rapidly generated. The potential of this method is demonstrated by creating droplets with enhanced stability, where this is achieved by selecting carrier fluid chemistries that promote titanium dioxide formation at the droplet interfaces. The interface is a mixture of amorphous and crystalline phases, and the resulting composite droplets are biocompatible, supporting in vitro protein expression in their interiors. This general strategy will find widespread application in advancing emulsion properties for use in chemistry, biology, materials, and medicine.
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spelling pubmed-50553872016-10-11 Combinatorial microfluidic droplet engineering for biomimetic material synthesis Bawazer, Lukmaan A. McNally, Ciara S. Empson, Christopher J. Marchant, William J. Comyn, Tim P. Niu, Xize Cho, Soongwon McPherson, Michael J. Binks, Bernard P. deMello, Andrew Meldrum, Fiona C. Sci Adv Research Articles Although droplet-based systems are used in a wide range of technologies, opportunities for systematically customizing their interface chemistries remain relatively unexplored. This article describes a new microfluidic strategy for rapidly tailoring emulsion droplet compositions and properties. The approach uses a simple platform for screening arrays of droplet-based microfluidic devices and couples this with combinatorial selection of the droplet compositions. Through the application of genetic algorithms over multiple screening rounds, droplets with target properties can be rapidly generated. The potential of this method is demonstrated by creating droplets with enhanced stability, where this is achieved by selecting carrier fluid chemistries that promote titanium dioxide formation at the droplet interfaces. The interface is a mixture of amorphous and crystalline phases, and the resulting composite droplets are biocompatible, supporting in vitro protein expression in their interiors. This general strategy will find widespread application in advancing emulsion properties for use in chemistry, biology, materials, and medicine. American Association for the Advancement of Science 2016-10-07 /pmc/articles/PMC5055387/ /pubmed/27730209 http://dx.doi.org/10.1126/sciadv.1600567 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Bawazer, Lukmaan A.
McNally, Ciara S.
Empson, Christopher J.
Marchant, William J.
Comyn, Tim P.
Niu, Xize
Cho, Soongwon
McPherson, Michael J.
Binks, Bernard P.
deMello, Andrew
Meldrum, Fiona C.
Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title_full Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title_fullStr Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title_full_unstemmed Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title_short Combinatorial microfluidic droplet engineering for biomimetic material synthesis
title_sort combinatorial microfluidic droplet engineering for biomimetic material synthesis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055387/
https://www.ncbi.nlm.nih.gov/pubmed/27730209
http://dx.doi.org/10.1126/sciadv.1600567
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