Literature DB >> 26785761

Microfluidic platform for reproducible self-assembly of chemically communicating droplet networks with predesigned number and type of the communicating compartments.

Jan Guzowski1, Konrad Gizynski, Jerzy Gorecki, Piotr Garstecki.   

Abstract

We report a microfluidic system for individually tailored generation and incubation of core-shell liquid structures with multiple cores that chemically communicate with each other via lipid membranes. We encapsulate an oscillating reaction-diffusion Belousov-Zhabotinsky (BZ) medium inside the aqueous droplets and study the propagation of chemical wave-fronts through the membranes. We further encapsulate the sets of interconnected BZ-droplets inside oil-lipid shells in order to i) chemically isolate the structures and ii) confine them via tunable capillary forces which leads to self-assembly of predesigned topologies. We observe that doublets (pairs) of droplets encapsulated in the shell exhibit oscillation patterns that evolve in time. We collect statistical data from tens of doublets all created under precisely controlled, almost identical conditions from which we conclude that the different types of transitions between the patterns depend on the relative volumes of the droplets within a chemically coupled pair. With this we show that the volume of the compartment is an important control parameter in designing chemical networks, a feature previously appreciated only by theory. Our system not only allows for new insights into the dynamics of geometrically complex and interacting chemical systems but is also suitable for generating autonomous chemically interconnected microstructures with possible future use, e.g., as smart biosensors or drug-release capsules.

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Year:  2016        PMID: 26785761     DOI: 10.1039/c5lc01526j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  7 in total

1.  3D printed droplet generation devices for serial femtosecond crystallography enabled by surface coating.

Authors:  Austin Echelmeier; Daihyun Kim; Jorvani Cruz Villarreal; Jesse Coe; Sebastian Quintana; Gerrit Brehm; Ana Egatz-Gomez; Reza Nazari; Raymond G Sierra; Jason E Koglin; Alexander Batyuk; Mark S Hunter; Sébastien Boutet; Nadia Zatsepin; Richard A Kirian; Thomas D Grant; Petra Fromme; Alexandra Ros
Journal:  J Appl Crystallogr       Date:  2019-08-29       Impact factor: 3.304

2.  Directional coupling in spatially distributed nanoreactors.

Authors:  Nirmali Prabha Das; Dorina G Dobó; Dániel Berkesi; Ákos Kukovecz; Dezső Horváth; Ágota Tóth
Journal:  RSC Adv       Date:  2019-12-09       Impact factor: 4.036

Review 3.  Using flow technologies to direct the synthesis and assembly of materials in solution.

Authors:  K Robertson
Journal:  Chem Cent J       Date:  2017-01-05       Impact factor: 4.215

4.  Applications of Information Theory Methods for Evolutionary Optimization of Chemical Computers.

Authors:  Jerzy Gorecki
Journal:  Entropy (Basel)       Date:  2020-03-10       Impact factor: 2.524

5.  Collective Behavior of Urease pH Clocks in Nano- and Microvesicles Controlled by Fast Ammonia Transport.

Authors:  Ylenia Miele; Stephen J Jones; Federico Rossi; Paul A Beales; Annette F Taylor
Journal:  J Phys Chem Lett       Date:  2022-02-21       Impact factor: 6.475

6.  Information Processing Using Networks of Chemical Oscillators.

Authors:  Jerzy Gorecki
Journal:  Entropy (Basel)       Date:  2022-07-31       Impact factor: 2.738

7.  Towards Functional Droplet Architectures: a Belousov-Zhabotinsky Medium for Networks.

Authors:  Kai Ming Chang; Maurits R R de Planque; Klaus-Peter Zauner
Journal:  Sci Rep       Date:  2018-08-23       Impact factor: 4.379

  7 in total

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