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Emergent Synchronous Volumetric Oscillation in Hierarchically Structured Self-Oscillating Gel Clusters
Won Seok Lee1, Takafumi Enomoto1, Aya Mizutani Akimoto1
1Department of Materials Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
This study demonstrates how clustered self-oscillating gels exhibit synchronized and emergent properties, mimicking biological oscillators. Acrylic acid gel clusters show enhanced and synchronized BZ reaction dynamics.
Area of Science:
- Chemical Oscillations
- Soft Matter Physics
- Systems Biology
Background:
- Synchronization and emergent properties are key in biological systems.
- Belousov-Zhabotinsky (BZ) oscillators serve as models for studying these phenomena.
- Self-oscillating gels offer a platform to investigate emergent properties at a fundamental level.
Purpose of the Study:
- To experimentally examine synchronous and emergent properties in a self-oscillating gel system.
- To investigate how clustering influences oscillatory behavior.
- To understand the fundamental hierarchical level of synchronization and emergence.
Main Methods:
- Incorporation of acrylic acid (AAc) moieties into the gel network.
- Formation of gel clusters through hydrogen bonding in an acidic BZ substrate.
- Observation and analysis of oscillatory behavior in homogeneous and heterogeneous gel assemblies during the BZ reaction.
Main Results:
- Clustered gel assemblies (double to quadruple clusters) showed increased and synchronized periods and amplitudes during the BZ reaction.
- Homogeneous and heterogeneous gel clusters exhibited enhanced oscillatory dynamics.
- In heterogeneous clusters, initially low-amplitude gel units synchronized with higher-amplitude units, demonstrating an emergent property.
Conclusions:
- Self-oscillating gel clusters can effectively model emergent and synchronous properties observed in biological oscillators.
- The findings provide insights into the fundamental mechanisms of synchronization and emergence in hierarchical systems.
- This research may advance the understanding of biological oscillators like cardiomyocytes.
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