Vertical Self-Assembly of Gold Nanoworms for Sensitive Surface-Enhanced Raman Spectroscopy-Based Trace Detection
Year: 2025
Type: article
Abstract: The assembly of anisotropic nanoparticles into closely packed structures results in unique functionalities. Herein, we report a 3D multilayer vertical assembly of worm-shaped Au nanoparticles using a carefully regulated evaporation-induced deposition method. With the evaporation of the nanoworm (NW) suspension, the concentration of NWs in the suspension gradually increases which generates a balance between electrostatic interactions and entropically driven attraction to produce multilayer vertically assemblies. These assemblies exhibit enhanced surface-enhanced Raman scattering (SERS) signals due to the presence of a high concentration of hotspots. Moreover, in contrast to nanorods, the bent morphology of NWs creates openings in the vertical assembly, enabling the analyte molecule to penetrate the assembly and access hotspots. The NW assembly-based SERS substrate provided the detection of rhodamine 6G (R6G) analyte down to picomolar concentration with a good linear correlation of intensity vs. concentration indicating the possibility of quantitative detection. Moreover, the substrate provided an excellent uniformity of signal with the spot-to-spot relative standard deviation (RSD) of only 8.9%. The SERS substrates were also employed for the trace detection of ammonium nitrate, which is a well-known constituent for homemade explosives. Our method of producing multilayer vertical assemblies of NWs is simple, highly sensitive, stable, and reproducible for making effective SERS sensors for the quantitative detection of analytes.
Source: ACS Applied Nano Materials
Institutions: COMSATS University Islamabad, Middle East Technical University, Massachusetts Institute of Technology, University of Duisburg-Essen, Çankaya University, Virtual University of Pakistan, Regroupement Québécois sur les Matériaux de Pointe, Centre québécois sur les matériaux fonctionnels, Université de Montréal
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
Awards: G6165070019, G8231735225
OpenAlex ID: W4409123119
