Flow-Based Autocorrelation Studies for the Detection and Investigation of Single-Particle Surface-Enhanced Resonance Raman Spectroscopic Events

We report on the characterization and detection of single metallic nanoparticles using a combination of correlation spectroscopy and surface-enhanced resonance Raman spectroscopy (SERRS). Minimizing the number of independent characterization steps is critical to efficiently perform such an analysis....

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2011-02, Vol.83 (4), p.1418-1424
Main Authors: Cecchini, Michael P, Stapountzi, Margarita A, McComb, David W, Albrecht, Tim, Edel, Joshua B
Format: Article
Language:English
Subjects:
Analytical chemistry
Chemical compounds
Chemistry
Diffusion
Exact sciences and technology
Gold
Metals
Nanoparticles
Spectrometric and optical methods
Spectrum analysis
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Summary:We report on the characterization and detection of single metallic nanoparticles using a combination of correlation spectroscopy and surface-enhanced resonance Raman spectroscopy (SERRS). Minimizing the number of independent characterization steps is critical to efficiently perform such an analysis. In this article, we improve upon conventional diffusion-limited approaches by implementing a flow-based system with high temporal resolution detection. The benefits of flow over diffusion measurements allow for a higher throughput of detected events resulting in shorter analysis times. The nanoparticles are sized using their rotational diffusion time calculated with a modified autocorrelation function. Experiments are performed using Au nanoparticles labeled with the reporter molecule malachite green isothiocyanate on a custom-built Raman spectrometer.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac102925h