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Improved Quantitative SERS Enabled by Surface Plasmon Enhanced Elastic Light Scattering.

Haoran Wei1,2,3, Weinan Leng1,2,3, Junyeob Song4

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Surface-enhanced Raman spectroscopy (SERS) variability is reduced using surface-enhanced elastic scattering as an internal standard. This method normalizes signals, improving quantitative analysis without extra chemicals.

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Area of Science:

  • Plasmonics
  • Spectroscopy
  • Nanomaterials

Background:

  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for chemical analysis.
  • Quantitative SERS analysis is limited by substrate heterogeneity and variable electromagnetic fields.
  • Plasmonic nanostructures create localized "hot spots" that enhance Raman signals but introduce variability.

Purpose of the Study:

  • To develop an intrinsic internal standard for SERS to overcome substrate variability.
  • To improve the reproducibility and accuracy of quantitative SERS measurements.
  • To establish a normalization method independent of laser intensity and "hot spot" density.

Main Methods:

  • Utilized surface-enhanced elastic scattering (SEES) as an internal standard for SERS.
  • Simultaneously measured both elastic (SEES) and inelastic (Raman) scattering signals.
  • Developed a theoretical model to explain the SEES normalization mechanism.
  • Tested the method on various SERS substrates and quantified chloroanilines.

Main Results:

  • SEES signal acts as a localized intrinsic standard, normalizing Raman signals.
  • Normalized SERS signals became independent of incident laser power and "hot spot" distribution.
  • The coefficient of variation for SERS substrates decreased from 10-60% to 2-7% after "hot-spot" (HS) normalization.
  • Achieved highly reproducible quantitative analysis of chloroanilines under static and dynamic conditions.

Conclusions:

  • Surface-enhanced elastic scattering provides an effective intrinsic standard for SERS.
  • The proposed normalization method significantly enhances SERS reproducibility and quantitation accuracy.
  • This approach eliminates the need for external chemical standards in SERS analysis.