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Self-assembly of lambda-DNA networks/Ag nanoparticles: hybrid architecture and active-SERS substrate
Chongyang Peng1, Yonghai Song, Gang Wei
1State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Graduate School of the Chinese Academy of Sciences, Chinese Academy of Sciences, Changchun 130022, PR China.
Journal of Colloid and Interface Science
|October 13, 2007
Summary
Highly rough and stable surface-enhanced Raman scattering (SERS)-active substrates were created using a layer-by-layer method. These substrates show significant Raman scattering enhancement for analytes like methylene blue.
Area of Science:
- Materials Science
- Nanotechnology
- Spectroscopy
Background:
- Surface-enhanced Raman scattering (SERS) requires substrates with specific nanostructures.
- Developing stable and highly sensitive SERS substrates is crucial for chemical sensing.
Purpose of the Study:
- To fabricate highly rough and stable SERS-active substrates.
- To investigate the self-assembly of lambda-DNA networks and silver nanoparticles (AgNPs) for SERS applications.
- To characterize the structural and optical properties of the fabricated hybrid architectures.
Main Methods:
- Layer-by-layer (LBL) self-assembly of lambda-DNA and CTAB-capped AgNPs on a charged mica surface.
- Characterization using UV-vis spectroscopy, tapping mode atomic force microscopy (AFM), and confocal Raman microscopy.
- Evaluation of SERS activity using methylene blue (MB) as an analyte.
Main Results:
- Successful fabrication of hybrid architectures with increasing bilayers.
- Observed red-shift in silver nanoparticle surface plasmon due to aggregation.
- Increased surface coverage, nanoparticle amount, and surface roughness with more bilayers.
- Demonstrated significant SERS enhancement of methylene blue.
Conclusions:
- The LBL assembly technique is effective for creating rough, stable SERS-active substrates.
- The SERS enhancement factor is dependent on nanoparticle surface coverage and the number of lambda-DNA/AgNP bilayers.
- These hybrid architectures show great potential for sensitive chemical detection.
