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Fabricating millifluidic reaction-diffusion devices: droplet-in-oil networks structured by laser cutting

Fabricating millifluidic reaction-diffusion devices: droplet-in-oil networks structured by laser cutting
Fabricating millifluidic reaction-diffusion devices: droplet-in-oil networks structured by laser cutting
All known forms of life utilise information processing to maintain their complex organisation. In contrast to conventional information technology built on solid-state semiconductor devices, biological information processing is built on transformations through chemical reactions and interactions mediated by diffusion. The theoretical understanding of reaction-diffusion computing as well as prototype implementations have progressed in parallel over the
past decades. We report here on a technique for studying spatially structured networks in which chemicals are compartmentalised as droplets-in-oil and laser-cut topologies impose spatial structure. Experiments with halogen displacement reactions demonstrate that the feature size achievable with laser cutting is well suited to practical diffusion time scales. Further advantages of the technique are the optical accessibility, enabling readout from bromine and iodine production, diffusion and indicator reactions, and the good chemical compatibility between the compartmentalisation medium (oil) and the structuring medium (PMMA), while the fast turn-around times enable rapid topology optimisation.
Chang, Kai
4a4a15be-862b-4cd2-a229-bc4562f6b47e
De Planque, Maurits
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Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
Chang, Kai
4a4a15be-862b-4cd2-a229-bc4562f6b47e
De Planque, Maurits
a1d33d13-f516-44fb-8d2c-c51d18bc21ba
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97

Chang, Kai, De Planque, Maurits and Zauner, Klaus-Peter (2016) Fabricating millifluidic reaction-diffusion devices: droplet-in-oil networks structured by laser cutting. IEEE Symposium on Foundations of Computational Intelligence (FOCI), Greece. 06 - 09 Dec 2016. 7 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

All known forms of life utilise information processing to maintain their complex organisation. In contrast to conventional information technology built on solid-state semiconductor devices, biological information processing is built on transformations through chemical reactions and interactions mediated by diffusion. The theoretical understanding of reaction-diffusion computing as well as prototype implementations have progressed in parallel over the
past decades. We report here on a technique for studying spatially structured networks in which chemicals are compartmentalised as droplets-in-oil and laser-cut topologies impose spatial structure. Experiments with halogen displacement reactions demonstrate that the feature size achievable with laser cutting is well suited to practical diffusion time scales. Further advantages of the technique are the optical accessibility, enabling readout from bromine and iodine production, diffusion and indicator reactions, and the good chemical compatibility between the compartmentalisation medium (oil) and the structuring medium (PMMA), while the fast turn-around times enable rapid topology optimisation.

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ChangKM16FabMilFluReactDiff.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 24 November 2016
e-pub ahead of print date: 8 December 2016
Venue - Dates: IEEE Symposium on Foundations of Computational Intelligence (FOCI), Greece, 2016-12-06 - 2016-12-09
Organisations: Agents, Interactions & Complexity, EEE

Identifiers

Local EPrints ID: 405621
URI: https://eprints.soton.ac.uk/id/eprint/405621
PURE UUID: cffc0edd-1647-4225-8cd1-e5c9d9cd61d8
ORCID for Maurits De Planque: ORCID iD orcid.org/0000-0002-8787-0513

Catalogue record

Date deposited: 09 Feb 2017 15:05
Last modified: 06 Jun 2018 12:37

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Contributors

Author: Kai Chang
Author: Klaus-Peter Zauner

University divisions

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