Modeling Au Nanostar Geometry in Bulk Solutions

The findings within make it possible to reference gold nanostars based on their geometric properties, similar to how a radius describes a nanosphere, rather than just the LSPR of the structure-the current practice. The average tip approximation presented reduces the complexity of nanostars in discrete dipole approximation simulations. By matching the projected area and LSPR of the modeled nanostars to synthesized nanostars, the volume, surface area, and number of tips can be approximated without a lengthy characterization process. Knowing the nanoparticle geometry can determine drug carrier capacity, an approximate number of hot spots for EM imaging, and how the particle will interact with cells. The geometric data obtained will drive the biological application and increase the usability of this particle class.

Automated summary

The research findings suggest that the geometric properties of gold nanostars can be referenced, similar to the way a nanosphere can be described by its radius, instead of solely relying on the local surface plasmon resonance (LSPR) of the structure. The suggested average tip approximation simplifies the complex nature of nanostars in simulations. By comparing the characteristics of modeled nanostars to synthesized nanostars, the volume, surface area, and number of tips can be approximated without the need for extensive characterization. Understanding the nanoparticle geometry can have implications for drug delivery capacity, identification of hot spots for electron microscopy imaging, and the interaction of particles with cells.