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Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators
The analysis of network interactions among dynamical units and the impact of the coupling on self-organized structures is a challenging task with implications in many biological and engineered systems. We explore the coupling topology that arises through the potential drops in a flow channel in a la...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384074/ https://www.ncbi.nlm.nih.gov/pubmed/28387237 http://dx.doi.org/10.1038/srep46027 |
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author | Jia, Yanxin Kiss, István Z. |
author_facet | Jia, Yanxin Kiss, István Z. |
author_sort | Jia, Yanxin |
collection | PubMed |
description | The analysis of network interactions among dynamical units and the impact of the coupling on self-organized structures is a challenging task with implications in many biological and engineered systems. We explore the coupling topology that arises through the potential drops in a flow channel in a lab-on-chip device that accommodates chemical reactions on electrode arrays. The networks are revealed by analysis of the synchronization patterns with the use of an oscillatory chemical reaction (nickel electrodissolution) and are further confirmed by direct decoding using phase model analysis. In dual electrode configuration, a variety coupling schemes, (uni- or bidirectional positive or negative) were identified depending on the relative placement of the reference and counter electrodes (e.g., placed at the same or the opposite ends of the flow channel). With three electrodes, the network consists of a superposition of a localized (upstream) and global (all-to-all) coupling. With six electrodes, the unique, position dependent coupling topology resulted spatially organized partial synchronization such that there was a synchrony gradient along the quasi-one-dimensional spatial coordinate. The networked, electrode potential (current) spike generating electrochemical reactions hold potential for construction of an in-situ information processing unit to be used in electrochemical devices in sensors and batteries. |
format | Online Article Text |
id | pubmed-5384074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53840742017-04-11 Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators Jia, Yanxin Kiss, István Z. Sci Rep Article The analysis of network interactions among dynamical units and the impact of the coupling on self-organized structures is a challenging task with implications in many biological and engineered systems. We explore the coupling topology that arises through the potential drops in a flow channel in a lab-on-chip device that accommodates chemical reactions on electrode arrays. The networks are revealed by analysis of the synchronization patterns with the use of an oscillatory chemical reaction (nickel electrodissolution) and are further confirmed by direct decoding using phase model analysis. In dual electrode configuration, a variety coupling schemes, (uni- or bidirectional positive or negative) were identified depending on the relative placement of the reference and counter electrodes (e.g., placed at the same or the opposite ends of the flow channel). With three electrodes, the network consists of a superposition of a localized (upstream) and global (all-to-all) coupling. With six electrodes, the unique, position dependent coupling topology resulted spatially organized partial synchronization such that there was a synchrony gradient along the quasi-one-dimensional spatial coordinate. The networked, electrode potential (current) spike generating electrochemical reactions hold potential for construction of an in-situ information processing unit to be used in electrochemical devices in sensors and batteries. Nature Publishing Group 2017-04-07 /pmc/articles/PMC5384074/ /pubmed/28387237 http://dx.doi.org/10.1038/srep46027 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Jia, Yanxin Kiss, István Z. Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title | Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title_full | Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title_fullStr | Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title_full_unstemmed | Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title_short | Decoding Network Structure in On-Chip Integrated Flow Cells with Synchronization of Electrochemical Oscillators |
title_sort | decoding network structure in on-chip integrated flow cells with synchronization of electrochemical oscillators |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384074/ https://www.ncbi.nlm.nih.gov/pubmed/28387237 http://dx.doi.org/10.1038/srep46027 |
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