Evaluation of 3D gold nanodendrite layers obtained by templated galvanic displacement reactions for SERS sensing and heterogeneous catalysis
Weijia Han, Elzbieta Stepula, Michael Philippi, Sebastian Schl\"ucker,, Martin Steinhart

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.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
