Abstract

We address the field of soft plasmonics in finite electrolyte liquid systems ranged by insulating membranes by an analogy to the plasmonics of metallic nanostructures. The confined electrolyte systems can be encountered on a bio-cell organizational level, taking into account that the characteristics of ion plasmons fall to the micrometer size scale instead of the nanometer in metals because of at least three orders of magnitude larger masses of ions in comparison to electrons. The lower density of ions in electrolytes in comparison to density of electrons in metal may also reduce the energy of plasmons by several orders. We provide the fully analytical description of surface and volume plasmons in finite ionic micro-systems allowing for further applications. We next apply the theory of ionic plasmons to plasmon–polaritons in ionic periodic systems. The complete theory of ionic plasmon–polariton kinetics in the chain of micrometer-sized electrolyte spheres, confined by a dielectric membrane, is formulated and solved. The latter theory has next been applied to the explanation of a mysterious and unclear (for several dozen of years) problem of so-called saltatory conduction of the action potential in myelinated axons of nerve cells. Contrary to conventional models of nerve signaling, the plasmon–polariton model pretty well fits to the queer properties of the saltatory conduction. Moreover, the presented application of soft plasmonics to signaling in periodically myelinated axons may allow for identification of a different role in information processing of the white and gray matters in brain and spinal cord. We have outlined some perspectives to utilize the difference between the electricity of myelinated and non-myelinated nerve cells in brain to develop the topological concept of the memory functioning. The proposed ionic plasmon–polariton model of the saltatory conduction differently recognizes the role of the insulating myelin than previously was thought which may be helpful in the development of a better understanding of the demyelination diseases.

Highlights

  • In view of plasmons and plasmon–polaritons in metallic nanostructures one can question the similar charge fluctuations in other electrical systems like electrolytes

  • Many finite ionic system in the form of closed by membranes electrolyte systems can be encountered in biological structures and the question arises up to which step the plasmonic phenomena would play the role in them and whether the radiative properties of plasmon fluctuation would be so significant in ionic system as in metals were

  • One can expect that the energy of ionic plasmons is much lower than of electronic plasmons in metals and the typical size of plasmonic finite systems is of micrometer scale

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Summary

Introduction

In view of plasmons and plasmon–polaritons in metallic nanostructures one can question the similar charge fluctuations in other electrical systems like electrolytes. Let us consider the finite spherical ionic system (e.g., a liquid electrolyte artificially ranged with a membrane) and identify the plasmon excitations of ions in this system. Keeping in mind that metallic nano-chains serve as very efficient wave-guides for electro-magnetic signals in the form of collective surface plasmon excitation of wave-type called plasmon–polaritons, we will try to model the similar phenomenon in ionic sphere chains. We analyze the radiative properties of ionic plasmons which are essential for plasmon–polariton kinetics in linear ordered arrays of plasmonic components This analysis allows for the definition and investigation of ionic plasmon–polaritons in linear periodically arranged electrolyte systems in analogy to plasmons–polaritons in metallic nano-chains. The review demonstrates the interdisciplinary influence which would be constructive and beneficial in progress of even far problems

Fluctuations of Charge Density in Electrolyte Spherical Systems
Model Definition
Solution of RPA Plasmon Equation
Damping of Plasmon Oscillations in Ionic Systems
Plasmon–Polariton Propagation in Linear Periodic Ionic System
Possible Linkage with the Topological Model of Neuron Web
10. Conclusions
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