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Author Spotlight: Development and Application of SERS Flexible Substrates Using Synthesized AgNPs

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Self-Calibration 3D Hybrid SERS Substrate and Its Application in Quantitative Analysis.

Bei-Bei Fu¹, Xiang-Dong Tian¹, Jing-Jin Song¹

¹Xiamen Cardiovascular Hospital, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.

Analytical Chemistry

|June 30, 2022

Summary

A novel 3D hybrid nanostructure enhances Surface-Enhanced Raman Spectroscopy (SERS) quantitative analysis by using a bifunctional substrate. This improves SERS intensity and reproducibility for detecting biomedical molecules.

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Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril

Published on: October 3, 2020

Area of Science:

Nanotechnology
Analytical Chemistry
Spectroscopy

Background:

Surface-enhanced Raman spectroscopy (SERS) is a sensitive technique for molecular detection.
Quantitative SERS analysis is challenged by hot spot heterogeneity and competitive adsorption.
Existing internal standard (IS) methods for SERS face limitations.

Purpose of the Study:

To develop a bifunctional SERS substrate using 3D hybrid nanostructures.
To overcome limitations of quantitative SERS analysis.
To improve SERS performance and reproducibility.

Main Methods:

Fabrication of a 3D hybrid nanostructure with distinct calibration and detection units.
The calibration unit comprises Au@IS@SiO2 nanoparticles for stable reference signals.
The detection unit uses Au octahedrons for target analyte detection.

Main Results:

The 3D substrate demonstrated a 6-fold increase in SERS intensity compared to 2D substrates.
Reproducibility of SERS detection was significantly improved by correcting hot spot variations.
Sensitive determination of cotinine and creatinine in various matrices was achieved.

Conclusions:

The bifunctional 3D SERS substrate effectively addresses quantitative analysis challenges.
This approach enhances SERS performance and reproducibility.
The developed substrate offers a promising platform for advancing SERS applications in biomedical fields.