PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 4, 2026Crystal Growth & Design0 citations

SERS Platform Based on Gold Nanocube-Silica Aerogel for Ultra-Trace Drug Molecular Detection

View Full Paper
YTYanyu TianSAShu-Yi AnDZDengqi Zhong

Key Points

  • This research aims to develop a novel SERS substrate for highly sensitive drug detection using AuNCs-SA composites.
  • Preparation of AuNCs-SA composites through self-assembly and solution impregnation method
  • Application of molecular probes including Rhodamine 6G, thiram, and crystal violet
  • Testing for detection limits and stability over 30 days
  • Achieved detection limit for R6G at 10–16 M and an enhancement factor of 9.44 × 10^10
  • Determined detection limits of 10–15 M for crystal violet and 10–11 M for thiram
  • Demonstrated stability and reproducibility of AuNCs-SA after 30 days of storage

Abstract

Gold nanocube-silica aerogel (AuNCs-SA) composite nanomaterials were prepared as a powerful 3D SERS substrate through self-assembly using the solution impregnation method. Rhodamine 6G, thiram, and crystal violet were applied as molecular probes. An optimal AuNCs-SA composition of 11 mL of AuNCs and 1 mg of SA showed the strongest Raman effect and an extremely low R6G detection limit, reaching 10–16 M with an enhancement factor of 9.44 × 1010. The detection limits for crystal violet and thiram were 10–15 and 10–11 M, respectively. The SERS performance remained basically unchanged after 30 days of storage, indicating that the AuNCs-SA material has high stability and reproducibility in application. The high performance and stability of the proposed AuNCs-SA nanocomposites suggest high potential for application in the detection of low concentrations of environmental pollutants.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Tian et al. (2026) studied this question.

synapsesocial.com/papers/69a7cd2ad48f933b5eed93b3https://doi.org/10.1021/acs.cgd.6c00029
Ask AI
Helpful
Bookmark
Share
View Full Paper