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Updated: May 28, 2026

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
A scheme for detecting every single target molecule with surface-enhanced Raman spectroscopy.
Eric C Le Ru1, Johan Grand, Idrissa Sow
1The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand. eric.leru@vuw.ac.nz
This study introduces a method for detecting every single molecule using surface-enhanced Raman spectroscopy (SERS) by selectively adsorbing analytes to hot spots. This approach enhances trace detection capabilities and simplifies experimental analysis.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Nanotechnology
Background:
- Surface-enhanced Raman spectroscopy (SERS) enables single-molecule detection on nanostructures.
- Current SERS methods detect only a small fraction (<1%) of molecules at surface hot spots due to enhancement factor variations.
- This limitation hinders trace detection and complicates experimental analysis.
Purpose of the Study:
- To develop a scheme for detecting every single target molecule in solution using SERS.
- To improve the efficiency and reliability of single-molecule SERS (SM-SERS) analysis.
- To introduce a general methodology for verifying the proposed approach.
Main Methods:
- Selective adsorption of target analytes exclusively at SERS hot spots.
- Utilizing a comparative analysis of average and maximum SERS enhancement factors.
- Developing experimental tools to verify the efficiency of selective adsorption.
Main Results:
- A proposed scheme enabling the detection of all target molecules in solution.
- A validated experimental methodology to confirm the efficiency of the approach.
- Demonstration of improved trace detection capabilities in SERS.
Conclusions:
- The proposed selective adsorption scheme allows for the detection of every single molecule in solution via SERS.
- The developed methodology provides a means to verify the effectiveness of SM-SERS approaches.
- This work offers a pathway to significantly advance trace detection using SERS technology.
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