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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
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Sequential determination of trace 4-aminoazobenzene in multiple textiles based on nanoarrayed functionalized
Zhuomin Zhang1, Cheng Zhao1, Gongke Li1
1School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Talanta
|May 8, 2016
Summary
Researchers developed a novel gold nanoparticle substrate (Au@PS-OH) for reproducible surface-enhanced Raman scattering (SERS) signals. This advancement enables rapid, sequential analysis of complex samples like textiles, improving analytical accuracy.
Area of Science:
- Analytical Chemistry
- Materials Science
- Spectroscopy
Background:
- Reproducible signals are crucial for enhancing the precision and accuracy of Surface-Enhanced Raman Scattering (SERS).
- Expanding SERS applications requires robust substrates for on-site analysis of complex matrices.
Purpose of the Study:
- To develop a novel substrate for rapid and sequential analysis using SERS.
- To improve the stability and reproducibility of SERS signals for complex samples.
Main Methods:
- Preparation of a gold nanoparticle functionalized polystyrene substrate (Au@PS-OH) using atom transfer radical polymerization and chemical assembly.
- Evaluation of substrate morphology, stability (acid/base, mechanical, chemical), and hydrophobicity.
- Development and application of an Au@PS-OH based SERS method for sequential determination of 4-aminoazobenzene in textiles.
Main Results:
- The Au@PS-OH substrate exhibited regular nanoarray morphology, excellent anti-agglomeration, and stability.
- Hydrophobicity ensured stable droplet shapes, guaranteeing reproducible SERS light paths and signals.
- Successful sequential determination of trace 4-aminoazobenzene in various textiles with good recoveries (76.0-118.9%) and low relative standard deviations (1.6-5.1%).
Conclusions:
- The novel Au@PS-OH substrate demonstrates significant potential for rapid, sequential, and on-site SERS analysis.
- This method offers improved analytical precision and accuracy for complex real-world samples.

