# Evaluation of 3D gold nanodendrite layers obtained by templated galvanic displacement reactions for SERS sensing and heterogeneous catalysis

## TL;DR

This study demonstrates a cost-effective method to produce dense, uniform 3D gold nanodendrite layers with high surface area and hotspot density, optimized by templated galvanic displacement for enhanced SERS sensing and catalysis.

## Contribution

It introduces a novel, bottom-up fabrication process for ordered 3D gold nanodendrite layers with improved uniformity and structural features for SERS and catalytic applications.

## Key findings

- Dense 3D gold nanodendrite layers with high hotspot density were successfully fabricated.
- The process yields homogeneous layers suitable for SERS mapping.
- The method is cost-effective and does not require expensive equipment.

## Abstract

Dense layers of overlapping three-dimensional (3D) gold nanodendrites characterized by high specific surfaces as well as by abundance of sharp edges and vertices creating high densities of SERS hotspots are promising substrates for SERS-based sensing and catalysis. We have evaluated to what extent structural features of 3D gold nanodendrite layers can be optimized by the initiation of 3D gold nanodendrite growth at gold particles rationally positioned on silicon wafers. For this purpose, galvanic displacement reactions yielding 3D gold nanodendrites were guided by hexagonal arrays of parent gold particles with a lattice constant of 1.5 micrometers obtained by solid-state dewetting of gold on topographically patterned silicon wafers. Initiation of the growth of dendritic features at edges of the gold particles resulted in the formation of 3D gold nanodendrites while limitation of dendritic growth to the substrate plane was prevented. The regular arrangement of the parent gold particles supported the formation of dense layers of overlapping 3D gold nanodendrites that were sufficiently homogeneous within the resolution limits of Raman microscopes. Consequently, SERS mapping experiments revealed a reasonable degree of uniformity. The proposed preparation algorithm comprises only bottom-up process steps that can be carried out without use of costly instrumentation.

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Source: https://tomesphere.com/paper/1908.05778