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Sensitive SERS detection of Rhodamine 6G based on monodisperse Ag and Ag@SiO2 nanocubes

Minh-Kha Nguyen 1, * ORCID logo
Lam-Uyen Vo-Nguyen 2
  1. Faculty of Chemical Engineering, Ho Chi Minh City University of Technology, VNU-HCM
Correspondence to: Minh-Kha Nguyen, Faculty of Chemical Engineering, Ho Chi Minh City University of Technology, VNU-HCM. ORCID: https://orcid.org/0000-0003-3456-3162. Email: [email protected].
Volume & Issue: Vol. 9 No. 1 (2026) | Page No.: 2771-2777 | DOI: 10.32508/vnuhcmjet.v9i1.1461
Published: 2026-03-28

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This article is published with open access by Viet Nam National University, Ho Chi Minh City, Viet Nam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The sensitive detection of dye contaminants in aquatic environments represents a significant concern for both ecological balance and human well-being. Surface enhanced Raman scattering (SERS) from Au or Ag nanospheres is commonly used to analyze pollutants. However, precise control of nanoparticle size and shape during synthesis poses a major challenge. Consequently, the sensitivity and reproducibility of Raman signals from these substrates are often insufficient to detect low-level contaminants. In this study, monodisperse Ag nanocubes (Ag NCs) with uniform size were well controled by the polyol method combined with poly(vinylpyrrolidone). Then, an ultrathin layer of silica was coated on Ag NCs to form Ag@SiO2 NCs to enhance its chemical durability. The results show that the SERS signal of 10-5 M Rhodamine 6G (R6G) on Ag@SiO2 NCs substrate is 3 times higher than that of Ag NCs. The SERS enhancement factor of R6G on Ag@SiO2 NCs reached 1.3x106. Furthermore, the silica shell of Ag@SiO2 NCs maintained R6G analytical signal stability even after 12 weeks of storage. The high sensitivity and stability identified in Ag@SiO2 NCs highlight their potential application in monitoring environmental pollutants.

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