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Intensity Fluctuations in Single-Molecule Surface-Enhanced Raman Scattering.

Diego P Dos Santos1, Marcia L A Temperini2, Alexandre G Brolo3

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Single-molecule surface-enhanced Raman scattering (SM-SERS) offers molecular fingerprinting but faces quantification challenges due to SERS intensity fluctuations (SIFs). The "digital SERS" approach addresses these issues, enabling ultralow concentration analysis and broader applications.

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Area of Science:

  • Nanotechnology and Spectroscopy
  • Surface-enhanced Raman scattering (SERS) at the single-molecule level

Background:

  • Single-molecule surface-enhanced Raman scattering (SM-SERS) emerged ~20 years ago, revolutionizing molecular fingerprinting.
  • Significant advancements have been made in developing SM-SERS nanostructures and understanding underlying mechanisms like plasmonic hotspots and chemical effects.
  • SERS intensity fluctuations (SIFs) are recognized as a key characteristic of SM-SERS, necessitating consideration of temporal and spatial variations.

Purpose of the Study:

  • To discuss the analytical applications of SM-SERS, particularly for ultralow concentration quantification.
  • To introduce and explore the concept of "digital SERS" for overcoming quantification challenges.
  • To present other implementations of SM-SERS, including probing colloidal aggregation and evaluating SERS substrates.

Main Methods:

  • Investigation of SERS intensity fluctuations (SIFs) and their statistical analysis.
  • Development and application of the "digital SERS" quantification strategy.
  • Utilizing SM-SERS for colloidal aggregation studies, substrate efficiency evaluation, and resonance energy characterization.

Main Results:

  • SM-SERS enables molecular fingerprinting at the single-molecule level, with SIFs being a critical feature.
  • The "digital SERS" approach provides a viable method for SERS quantification at ultralow concentrations (below 1 nM), addressing sampling limitations.
  • SM-SERS has been successfully demonstrated as a tool for diverse applications beyond analytical chemistry.

Conclusions:

  • Understanding SIFs and employing statistical analysis of SM-SERS data are crucial for realizing its potential.
  • The "digital SERS" concept offers a pathway to overcome reproducibility issues and enable reliable quantification.
  • SM-SERS holds significant promise for various real-world applications, driven by fundamental progress and innovative approaches.