Dual-modeling computational framework of magnetoelectric core-shell nanoparticles and nanochain for wireless peripheral nerve regeneration

Abstract

Objective

This study introduces a novel dual-modeling computational framework to comprehensively analyze magnetoelectric CFO-BTO core-shell nanoparticles and nanochains for wireless peripheral nerve regeneration. Our approach covers both single-particle physics and tissue-level effects for wireless peripheral nerve regeneration applications, evaluating the capability to generate therapeutic electric fields (5–140 V/m).

Methods

We developed a two-step computational strategy: first, a detailed multi-physics model characterizing individual nanostructure magnetoelectric coupling, incorporating experimental parameters from literature; second, a tissue-level model analyzing electric field distributions in both 2D in-vitro and 3D in-vivo configurations, with varying magnetic stimulations and nanochain concentrations (0.5–5 % w/v).

Results

The magnetoelectric analysis revealed better performance in nanochains compared to single nanoparticles, with optimal results achieved using cylindrical shell geometry. The 3D in-vivo configurations demonstrated higher field values compared to 2D in-vitro configuration, with therapeutic levels achieved across significant tissue volumes at higher nanochain concentrations.

Conclusion

This computational analysis validates that magnetoelectric nanochains can generate therapeutically relevant electric fields for nerve regeneration through wireless magnetic stimulation.

Significance

This study provides the first computational framework that quantitatively predicts electric field distributions from magnetoelectric nanostructures in neural tissue, providing essential design guidelines for optimizing wireless nerve regeneration therapies and accelerating their translation to clinical applications.