Self‐Oscillating 3D Printed Hydrogel Shapes
Source abstract
Abstract
Abstract Belousov–Zhabotinsky (BZ) reactions have been used to investigate periodic spatial patterns due to the oscillatory nature of the reaction. However, these systems have not been confined, nor controlled, in macro‐scaled architectures, making it hard to translate observations to natural behavior. Here, a poly(electrolyte) complex is designed that can be ionically or covalently reinforced to construct 3D geometries with additive manufacturing techniques. Printed geometries varied in shape, size, and angle to investigate spatiotemporal pattern formation in 3D. Size variations correlated to trends in oscillating pattern frequencies, demonstrating a geometry effect on spatial alterations. Overall, the combination of 3D printing techniques with self‐oscillating chemical reactions allows to model, study, and further understand macro‐scale patterns observed in nature. The proposed approach can be used to design smart structure to replicate biological oscillators such as cardiac arrhythmias, neuron signaling, and camouflage skin patterns.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nonlinear Dynamics and Pattern Formation · Advanced Materials and Mechanics · Photoreceptor and optogenetics research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Materials Science and Engineering College of Engineering Texas A&M University College Station TX 77843 USA
Biomedical Engineering College of Engineering Texas A&M University College Station TX 77843 USA
Chemical Engineering College of Engineering Texas A&M University College Station TX 77843 USA
Department of Cardiovascular Sciences Houston Methodist Research Institute Houston Methodist Hospital Houston TX 77030 USA
Medical Physiology College of Medicine Texas A&M Health Science Center Bryan TX 77807 USA
Chemical Engineering Department Texas A&M University at Qatar Doha 23874 Qatar
Center for Remote Health Technologies and Systems Texas A&M University College Station TX 77843 USA
Funding
National Institute of Biomedical Imaging and Bioengineering · National Science Foundation
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