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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
SERS detection of biomolecules using lithographed nanoparticles towards a reproducible SERS biosensor
Catalina David1, Nicolas Guillot, Hong Shen
1Laboratoire CSPBAT (FRE 3043), UFR SMBH, Université Paris XIII, Bobigny, France.
Nanotechnology
|October 30, 2010
Summary
This study demonstrates accurate spectral detection of proteins using gold nanocylinder substrates. Optimizing nanocylinder shape and size enhances surface-enhanced Raman scattering (SERS) signals for sensitive protein analysis.
Area of Science:
- Nanotechnology
- Spectroscopy
- Biochemistry
Background:
- Surface-enhanced Raman scattering (SERS) offers high sensitivity for molecular detection.
- Gold nanostructures are effective SERS substrates due to their plasmonic properties.
- Accurate spectral detection of proteins is crucial for diagnostics and research.
Purpose of the Study:
- To develop and optimize a SERS substrate for sensitive protein detection.
- To investigate the influence of gold nanocylinder dimensions on SERS enhancement factors.
- To establish a correlation between localized surface plasmon resonance (LSPR) and SERS signal optimization.
Main Methods:
- Fabrication of gold nanocylinders using electron-beam lithography (EBL).
- Characterization of nanocylinder dimensions (100-180 nm diameter, 200 nm gap).
- SERS measurements of bovine serum albumin (BSA) and ribonuclease-A (RNase-A) at low concentrations.
Main Results:
- Achieved accurate spectral detection of BSA and RNase-A.
- Estimated high SERS enhancement factors (10^5 for BSA, 10^7 for RNase-A) at 1 mM concentration.
- Demonstrated that optimizing nanocylinder size, shape, and LSPR position is key for maximizing SERS enhancement.
Conclusions:
- Gold nanocylinder arrays fabricated by EBL are efficient for protein spectral detection.
- Optimized LSPR positioning, relative to laser excitation and Raman bands, is critical for high SERS enhancement.
- This SERS approach provides a sensitive method for analyzing proteins.

