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Robust quantitative SERS analysis with Relative Raman scattering intensities.

Fengtong Zhao1, Weipeng Wang2, Haodong Zhong1

  • 1State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.

Talanta
|October 20, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a robust quantitative analysis method using relative surface-enhanced Raman scattering (SERS) intensities. This approach overcomes challenges with substrate reproducibility and testing conditions for accurate molecular analysis.

Keywords:
Quantitative analysisRelative Raman scattering intensitiesSERS

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy

Background:

  • Surface-enhanced Raman scattering (SERS) offers high sensitivity for molecular detection.
  • Quantitative analysis using SERS is challenging due to substrate variability and inconsistent testing conditions.
  • Absolute intensity measurements require high reproducibility, limiting practical applications.

Purpose of the Study:

  • To develop a robust and reliable quantitative analysis method for SERS.
  • To overcome the limitations of absolute intensity measurements in SERS.
  • To enable accurate molecular composition prediction in complex systems.

Main Methods:

  • Utilized relative Raman scattering intensities instead of absolute values.
  • Established external calibration working curves for multi-component systems.
  • Employed Raman internal standards (label molecules) for concentration prediction.

Main Results:

  • Achieved accurate molecule composition prediction in multi-component systems.
  • Demonstrated effective and robust quantitative analysis independent of SERS substrate inhomogeneity.
  • Successfully predicted target molecule concentrations using internal standards.

Conclusions:

  • Relative Raman scattering intensities provide a robust approach for quantitative SERS analysis.
  • The developed method is effective even with flexible and inhomogeneous SERS substrates.
  • This technique enhances the practicality and reliability of SERS for quantitative applications.