Issue 8, 2023

Controlled fabrication of Ag@clay nanomaterials for ultrasensitive and rapid surface-enhanced Raman spectroscopic detection

Abstract

The nanostructure of Ag nanoparticles (NPs) plays a critical role in their surface-enhanced Raman scattering (SERS) activity. Despite many efforts to tune the nanostructure of Ag NPs, it remains a great challenge as Ag NPs tend to agglomerate and their nanostructure is difficult to control. Herein, newly-discovered clay-surfactant-Ag+ materials and interfacial processes were developed and used to prepare uniform spherical Ag@synthetic hectorite (Ag@Hct) nanomaterials for ultrasensitive SERS assay. Sodium dodecyl sulfate (SDS), an anionic surfactant, acted as a bridge to conjugate the positively charged edge of Hct NPs and Ag+via electrostatic interaction to form the bridging nanostructure of Hct-SDS-Ag+, which promoted the uniform dispersion of Hct NPs. Following this, Ag+ was reduced to Ag0 by the reductant, and Ag0 grew on the surface of disc-like Hct NPs to form spherical Ag@Hct nanomaterials with an average particle size of ∼24 nm. The prepared Ag@Hct nanomaterials showed an ultrasensitive SERS response to methylene blue (MB) with a detection limit of 10−12 M. The detection limit of MB in sewage was 10−11 M. The prepared Ag@Hct nanomaterials also exhibited great SERS enhancement for malachite green and crystal violet. This work provides a novel and simple approach to prepare Ag@Hct nanomaterials with uniform spheres and adjustable particle size, allowing more sensitive and reproducible detection of MB.

Graphical abstract: Controlled fabrication of Ag@clay nanomaterials for ultrasensitive and rapid surface-enhanced Raman spectroscopic detection

Supplementary files

Article information

Article type
Paper
Submitted
08 Aug 2022
Accepted
29 Oct 2022
First published
21 Dec 2022

Anal. Methods, 2023,15, 1001-1015

Controlled fabrication of Ag@clay nanomaterials for ultrasensitive and rapid surface-enhanced Raman spectroscopic detection

C. P. Fu, K. J. Li, J. Y. He, W. H. Yu and C. H. Zhou, Anal. Methods, 2023, 15, 1001 DOI: 10.1039/D2AY01262F

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