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Spectral Super-Resolution Colloidal SERS Spectroscopy for Multiplexed Detection of Protein Biomarkers
Peng Zheng1,2, Steve Semancik2, Ishan Barman1,3,4
1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
We developed a new method called stochastic colloidal plasmon-enhanced spectral sampling (SCOPE) for super-resolution SERS spectroscopy. This technique overcomes limitations in current SERS assays, enabling more accurate and sensitive detection of biomarkers.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Nanotechnology
Background:
- Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity and specificity.
- Current SERS methods face challenges with intensity fluctuations and limited spectral resolution, hindering quantitative analysis.
- Developing advanced SERS techniques is crucial for precise molecular detection.
Purpose of the Study:
- To introduce a novel spectral super-resolution SERS strategy.
- To overcome the limitations of intensity-based and frequency-shift-based SERS assays.
- To enable accurate quantitative analysis and multiplexed detection of biomarkers.
Main Methods:
- Developed a stochastic colloidal plasmon-enhanced spectral sampling (SCOPE) strategy.
- Utilized large-scale stochastic spectral sampling in dynamic colloidal solutions.
- Applied Gaussian histogram fitting for subresolution peak center estimation.
Main Results:
- Achieved spectral super-resolution in SERS spectroscopy.
- Enabled accurate estimation of true peak centers with subresolution precision.
- Demonstrated a spectrally super-resolved SERS immunoassay for multiplexed protein biomarker detection.
Conclusions:
- The SCOPE strategy significantly enhances SERS quantitative capabilities.
- This approach provides a pathway for highly sensitive and specific multiplexed biomarker detection.
- Spectrally super-resolved SERS holds promise for diverse analytical applications.
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