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Updated: Jun 13, 2026

Single-Molecule Surface-Enhanced Raman Scattering Measurements Enabled by Plasmonic DNA Origami Nanoantennas
Published on: July 21, 2023
Using surface-enhanced Raman spectroscopy to probe for genetic markers on single-stranded DNA
Benjamin Moody1, John Leotaud, Gregory S McCarty
1University of North Carolina, Chapel Hill and North Carolina State University, Joint Department of Biomedical Engineering, 2140 Burlington Labs, 2500 Stinson Drive, Raleigh, North Carolina 27695, USA. agsmccart@ncsu.edu
This study introduces a novel surface-enhanced Raman spectroscopy method for rapid, low-cost genetic analysis. The technique effectively detects genetic markers, including single-nucleotide polymorphisms, in DNA with high sensitivity.
Area of Science:
- Biotechnology
- Spectroscopy
- Genetics
Background:
- Genetic analysis methods require improvement in speed and cost-effectiveness.
- Detecting genetic markers like single-nucleotide polymorphisms (SNPs) is crucial for various applications.
Purpose of the Study:
- To develop and demonstrate a novel method for genetic marker detection using surface-enhanced Raman spectroscopy (SERS).
- To analyze unmodified DNA for genetic variations with enhanced sensitivity.
Main Methods:
- Utilized surface-enhanced Raman spectroscopy (SERS) to probe single-stranded DNA.
- Developed a Raman complex by sandwiching DNA between gold nanoparticles and a gold surface.
- Analyzed hybridization of native test oligonucleotides within the SERS complex.
Main Results:
- Achieved significantly increased detection sensitivity compared to traditional Raman spectroscopy.
- Successfully detected genetic markers, including single-nucleotide polymorphisms (SNPs) and polymorphic regions.
- Differentiated DNA strands with different polymorphism types based on Raman intensity trends.
Conclusions:
- The developed SERS method offers a sensitive and efficient approach for genetic analysis.
- This technique holds promise for rapid and inexpensive genetic information collection.
- The method is capable of identifying specific genetic variations in DNA samples.
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